P2PULearningChallenges/Metrics: Difference between revisions

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<h2>Final Metrics for Challenges on P2PU</h2>
<h2>Final Metrics for Challenges on P2PU</h2>
<h3>Evaluation Goals and Metrics for Challenges
<h3>Evaluation Goals and Metrics for Challenges</h3>
</h3>
<ul><li>The&nbsp;&nbsp; objective of these metrics is to assess whether or not Challenges on P2PU are a good way to begin creating educational content for Mozilla projects. Both quantitative and qualitative methods are used to determine value for Mozilla, P2PU, and the user.&nbsp;</li
<pre class="_fck_mw_lspace">   The   objective of these metrics is to assess whether or not Challenges on P2PU are a good way to begin creating educational content for Mozilla projects. Both quantitative and qualitative methods are used to determine value for Mozilla, P2PU, and the user.  
><li>The&nbsp; focus is on overall value - We have content and we are moving it into this challenge framework. How is that going? How many people are completing our content (within this framework). Conversion funnel. Completion rates.&nbsp;<br/><br
</pre>
/></li
<pre class="_fck_mw_lspace">   The focus is on overall value - We have content and we are moving it into this challenge framework. How is that going? How many people are completing our content (within this framework). Conversion funnel. Completion rates.  
><li><b>Conversion rate</b><ul><li><b>Users who hit the site</b><ul><li>N = not logged-in users (data from google analytics) accessing:<ul><li>School of Webcraft home page</li
</pre>
><li>Challenge set home pages</li
<pre class="_fck_mw_lspace">   Conversion rate
><li>Challenge home pages</li
</pre>
><li>Challenge Task pages</li></ul
<pre class="_fck_mw_lspace">   Users who hit the site
></li></ul
</pre>
></li
<pre class="_fck_mw_lspace">   N = not logged-in users (data from google analytics) accessing:
><li><b>Share of users who register but never start a challenge</b>&nbsp;<ul><li>Registered users only --&gt; Visit a challenge related page but no challenge is started</li></ul
</pre>
></li
<pre class="_fck_mw_lspace">   School of Webcraft home page
><li><b>Share of users who start a challenge</b><ul><li><b>Share of users who complete a challenge</b><ul><li>Only users who started a challenge at least 3 days prior to reporting</li></ul
</pre>
></li
<pre class="_fck_mw_lspace">   Challenge set home pages
><li><b>Share who abandon a challenge</b><ul><li>Users who are inactive for 10 days</li
</pre>
><li>Users who manually "leave" a challenge</li></ul
<pre class="_fck_mw_lspace">   Challenge home pages
></li></ul
</pre>
></li
<pre class="_fck_mw_lspace">   Challenge Task pages
><li><b>Share of users who complete more than one challenge (2, 3, 4, ...)</b></li
</pre>
><li><b>Share of users who complete a series (=set) of challenges</b></li
<pre class="_fck_mw_lspace">   Share of users who register but never start a challenge  
><li><b>Number of Challenges completed per learner</b><ul><li>N = Users who completed at least one challenge</li></ul
</pre>
></li></ul
<pre class="_fck_mw_lspace">   Registered users only --&gt; Visit a challenge related page but no challenge is started
></li
</pre>
><li><b>Badges</b><ul><li><b>Number of Badges issued over time (organized by badge type)</b></li
<pre class="_fck_mw_lspace">   Share of users who start a challenge
><li><b>Number of badges issued per learner (badge categories: making, understanding)</b></li></ul
</pre>
></li
<pre class="_fck_mw_lspace">   Share of users who complete a challenge
><li><b>Mentors</b><ul><li><b>Number of Mentors over time (some measure of level of activity)</b><ul><li>Todo -&gt; Check with John</li></ul
</pre>
></li></ul
<pre class="_fck_mw_lspace">   Only users who started a challenge at least 3 days prior to reporting
></li
</pre>
><li><b>Qualitative Survey to ask people how they find the experience</b><ul><li>Laura to prepare<br/><br
<pre class="_fck_mw_lspace">   Share who abandon a challenge
/></li></ul
</pre>
></li></ul
<pre class="_fck_mw_lspace">   Users who are inactive for 10 days
><h2>Hackasaurus Metrics</h2>
</pre>
<h3>Understanding</h3>
<pre class="_fck_mw_lspace">   Users who manually "leave" a challenge
<ul><li>Number of Users who hit the site</li
</pre>
><li>Number of Badges issued over time</li
<pre class="_fck_mw_lspace">   Share of users who complete more than one challenge (2, 3, 4, ...)
><li>Number of people signing up for our email/group lists/pledges/campaigns/twitter/bookmarks</li
</pre>
><li>Number of Hacktivity Kit downloads<br/><br
<pre class="_fck_mw_lspace">   Share of users who complete a series (=set) of challenges
/></li></ul
</pre>
><h3>Making</h3>
<pre class="_fck_mw_lspace">   Number of Challenges completed per learner
<ul><li>Number of websites developed</li
</pre>
><li>People using our templates&nbsp;</li
<pre class="_fck_mw_lspace">   N = Users who completed at least one challenge
><li>Number of hacked webpages</li
</pre>
><li>Number of Hackasaurus events&nbsp;</li
<pre class="_fck_mw_lspace">   Badges
><li>Number of event participants</li
</pre>
><li>Goggle activations (bookmarklet uses) per day<br/><br
<pre class="_fck_mw_lspace">   Number of Badges issued over time (organized by badge type)
/></li></ul
</pre>
><h3>Innovating</h3><br
<pre class="_fck_mw_lspace">   Number of badges issued per learner (badge categories: making, understanding)
/><ul><li>patches (or forks) from volunteer contributors (dev and curriculum)</li
</pre>
><li>x # of hackasaurus "experiments" by community members</li
<pre class="_fck_mw_lspace">   Mentors
><li>localizations (Hacktivity Kit + web+ goggles)</li></ul
</pre>
>*****************************************************************<br
<pre class="_fck_mw_lspace">   Number of Mentors over time (some measure of level of activity)
/><br
</pre>
/><b>Project Components:&nbsp;</b><br
<pre class="_fck_mw_lspace">   Todo -&gt; Check with John
/><br
</pre>
/><b>Website:</b><br
<pre class="_fck_mw_lspace">   Qualitative Survey to ask people how they find the experience
/><ul><li>Number of people visiting</li
</pre>
><li>XXX page views per day</li
<pre class="_fck_mw_lspace">   Laura to prepare
><li>Number of people signing up for our email/group lists/pledges/campaigns/twitter/bookmarks</li
</pre>
><li>page views per visit</li
 
><li>return visitors</li
<h2>Hackasaurus Metrics</h2>
><li>links clicked</li
<h3>Understanding
><li># of backlinks<br/><br
</h3>
/></li></ul
<pre class="_fck_mw_lspace">   Number of Users who hit the site
><b>Goggles:</b><br
</pre>
/><ul><li>XXX activations (bookmarklet uses) per day</li
<pre class="_fck_mw_lspace">   Number of Badges issued over time
><li>XXX patches (or forks) from volunteer contributors<br/><br
</pre>
/></li></ul
<pre class="_fck_mw_lspace">   Number of people signing up for our email/group lists/pledges/campaigns/twitter/bookmarks
><b>Hacktivity Kit:</b><br
</pre>
/><ul><li>XXX # of downloads by the end of 2012/ Q1 - I'd collect this monthly (or weekly)</li
<pre class="_fck_mw_lspace">   Number of Hacktivity Kit downloads
><li>x# of Hacktivity Kit localizations&nbsp;<ul><li>or 2x the number of localizations from 2011</li></ul
</pre>
></li
<h3>Making  
><li>x # of feedback questionnaires completed<br/><br
</h3>
/></li></ul
<pre class="_fck_mw_lspace">   Number of websites developed
><b>P2PU Challenges</b><i>(this could also be for other things like parable or nav badge if not integrated into p2pu - "interactive challenges")</i><br
</pre>
/><ul><li>x # of webpages created as a result of challenges</li
<pre class="_fck_mw_lspace">   People using our templates  
><li>Share of users who start a (Hackasaurus) challenge<ul><li>Share who abandon a challenge</li
</pre>
><li>Share of users who complete a challenge</li></ul
<pre class="_fck_mw_lspace">   Number of hacked webpages
></li
</pre>
><li>Share of users who complete more than one challenge (2, 3, 4, ...)</li
<pre class="_fck_mw_lspace">   Number of Hackasaurus events  
><li>Share of users who complete a series of challenges</li
</pre>
><li>Number of Challenges completed per learner</li
<pre class="_fck_mw_lspace">  Number of event participants
><li>Number of Badges issued over time (organized by badge type)</li
</pre>
><li>Number of badges issued per learner (making and understanding badges)</li
<pre class="_fck_mw_lspace">   Goggle activations (bookmarklet uses) per day
><li>Number of Mentors over time (some measure of level of activity)&nbsp;<br/><br
</pre>
/></li></ul
<h3>Innovating
>Community<br
</h3>
/><ul><li>x # of countries running hack jams</li
<pre class="_fck_mw_lspace">   patches (or forks) from volunteer contributors (dev and curriculum)
><li>x # of hackasaurus "experiments" by community members</li
</pre>
><li>x # of localizations</li
<pre class="_fck_mw_lspace">   x # of hackasaurus "experiments" by community members
><li>x # of participants in Hackasaurus events<br/><br
</pre>
/></li></ul
<pre class="_fck_mw_lspace">   localizations (Hacktivity Kit + web+ goggles)
><h2>BRAINSTORMING METRICS:</h2>
</pre>
<h3>Overall goals</h3>
<p>Project Components:  
><b>Evaluation Goals and Metrics for Challenges</b><br
Website:
/><ul><li>The&nbsp; objective of these metrics is to assess whether or not Challenges on&nbsp; P2PU are a good way to begin creating educational content for Mozilla&nbsp; projects. Both quantitative and qualitative methods are used to&nbsp; determine value for Mozilla, P2PU, and the user.&nbsp;</li
</p>
><li>Two sets of metrics:<ul><li>NOT&nbsp; FOCUS -&gt; Internal - Once within a challenge - what are the metrics&nbsp; that tell us how well someone is doing, and how to make the challenge&nbsp; features / UX better. Click patterns. Drop off points. Etc.&nbsp;</li
<pre class="_fck_mw_lspace">   Number of people visiting
><li>FOCUS&nbsp; -&gt; Overall value - We have content and we are moving it into this&nbsp; challenge framework. How is that going? How many people are completing&nbsp; our content (within this framework). Conversion funnel. Completion&nbsp; rates.&nbsp;<br/><br
</pre>
/></li></ul
<pre class="_fck_mw_lspace">   XXX page views per day
></li></ul
</pre>
><h3>Framing:</h3>
<pre class="_fck_mw_lspace">   Number of people signing up for our email/group lists/pledges/campaigns/twitter/bookmarks
<ul><li>Focus metrics on state change - attitude, awareness, actions taken<br/><br
</pre>
/></li></ul
<pre class="_fck_mw_lspace">   page views per visit
><b>3&nbsp; Levels of Impact for Metrics for MoFo (framing for our larger goals -&nbsp; see if we can re-frame some of the metrics below into Participation and&nbsp; Making/Learning buckets for consistency)</b><br
</pre>
/><ul><li>Understanding&nbsp; - what increase in understanding/awareness of the open web and our&nbsp; programs (this is not as relevant for P2PU challenges specifically)</li></ul
<pre class="_fck_mw_lspace">   return visitors
>CV:&nbsp; challenges provide a model for deep understanding, which is measured&nbsp; primarily in the ability of learners to reflect their knowledge. A&nbsp; tangible example of that is to create a tutorial for someone else on a&nbsp; topic.<br
</pre>
/><ul><li>Participation - how many people are participating, in what ways, how deeply</li></ul
<pre class="_fck_mw_lspace">   links clicked
>CV:&nbsp; an easy way to measure that is sequencing of comments: we do not care&nbsp; necessarily about how many comments have been made, what we care about&nbsp; as an indicator of participation is how many of these comments are an&nbsp; answer to a previous comment. Additionally things like sharing with&nbsp; external social graphs provd=ide an indicator &gt; more on how to assess&nbsp; social assessment &amp; participation here <a href="http://bit.ly/vloJcH">http://bit.ly/vloJcH</a><br
</pre>
/><ul><li>Making - how are people improving their skills</li></ul
<pre class="_fck_mw_lspace">   # of backlinks
>CV: not clear on this, how is this different from understanding?<br
</pre>
/><ul><li>Innovation - how are people innovating (not as relevant?)</li></ul
<p>Goggles:
>CV:&nbsp; brilliant point- something to consider is measuring how many times for&nbsp; example a unique solution, such as a piece of code, is being re-used in&nbsp; other ways.<br
</p>
/><br
<pre class="_fck_mw_lspace">   XXX activations (bookmarklet uses) per day
/>Can&nbsp; we currently measure&nbsp; all these on P2PU?&nbsp; What do the metrics look like&nbsp; for Hackasaurus (what&nbsp; do we have available to us there?)<br
</pre>
/>CV:&nbsp; no we cannot probably. but we can start considering ways we can measure&nbsp; participation&nbsp;&nbsp; (stealth assessment) as well as understanding (manual&nbsp; assessment)<br
<pre class="_fck_mw_lspace">   XXX patches (or forks) from volunteer contributors
/><br
</pre>
/>PS:&nbsp; Main comment -&gt; Need to reduce number of metrics / let's track&nbsp; general traffic and then pick a few important ones (max 3-5) to drill&nbsp; down<br
<p>Hacktivity Kit:
/><br
</p>
/><br
<pre class="_fck_mw_lspace">   XXX # of downloads by the end of 2012/ Q1 - I'd collect this monthly (or weekly)
/><b>Goals</b><br
</pre>
/><br
<pre class="_fck_mw_lspace">   x# of Hacktivity Kit localizations  
/><b><i><u>Participation (beyond Reach)<s>Determine success of functional improvement</s></u></i></b><br
</pre>
/><br
<pre class="_fck_mw_lspace">   or 2x the number of localizations from 2011
/>How&nbsp; many people is Hackasaurus currently engaging? How many more might&nbsp; Challenges bring to the Hackasaurus Project? historic, current, and&nbsp; predictive views using quantitative data&nbsp;<br
</pre>
/><br
<pre class="_fck_mw_lspace">   x # of feedback questionnaires completed
/><i>Method</i>: data analysis (Monitor for trends) – historical and current, weekly collection<br
</pre>
/><br
<p>P2PU Challenges(this could also be for other things like parable or nav badge if not integrated into p2pu - "interactive challenges")
/><i>Metrics (increasing depth of participation):</i><br
</p>
/><ul><li>Access<ul><li>Basic demographics (from Google Analytics)</li
<pre class="_fck_mw_lspace">   x # of webpages created as a result of challenges
><li>Referrer stats (from Google Analytics)</li
</pre>
><li>Session Duration</li
<pre class="_fck_mw_lspace">   Share of users who start a (Hackasaurus) challenge
><li>Number of total page views by language and country</li></ul
</pre>
></li
<pre class="_fck_mw_lspace">   Share who abandon a challenge
><li><b>Conversion rate</b><ul><li><b>Users who hit the site</b></li
</pre>
><li><b>Share of users who register but never start a challenge</b></li
<pre class="_fck_mw_lspace">   Share of users who complete a challenge
><li><b>Share of users who start a challenge</b><ul><li><b>Share who abandon a challenge</b></li
</pre>
><li><b>Share of users who complete a challenge</b></li></ul
<pre class="_fck_mw_lspace">   Share of users who complete more than one challenge (2, 3, 4, ...)
></li
</pre>
><li><b>Share of users who complete more than one challenge (2, 3, 4, ...)</b></li
<pre class="_fck_mw_lspace">   Share of users who complete a series of challenges
><li><b>Share of users who complete a series of challenges</b></li
</pre>
><li><b>Number of Challenges completed per learner</b></li
<pre class="_fck_mw_lspace">   Number of Challenges completed per learner
><li>Nice to have: Usage pattern over time (levels of activity / completion speed)<ul><li>Maybe hours / week over time</li></ul
</pre>
></li></ul
<pre class="_fck_mw_lspace">   Number of Badges issued over time (organized by badge type)
></li
</pre>
><li>Learning<ul><li>Number of Active Learners over time (ie those who complete a task once a week)&nbsp;</li
<pre class="_fck_mw_lspace">   Number of badges issued per learner (making and understanding badges)
><li>Number of Challenge/Curriculum Completions over time (ie Learners who have completed all the Challenge/Curriculum tasks)</li
</pre>
><li>Share of users who complete at least one challenge</li
<pre class="_fck_mw_lspace">   Number of Mentors over time (some measure of level of activity)  
><li>Ratio of users who started a challenge and completed it</li
</pre>
><li>Click Stream</li></ul
<p>Community
></li
</p>
><li><b>Badges</b><ul><li><b>Number of Badges issued over time (organized by badge type)</b></li
<pre class="_fck_mw_lspace">   x # of countries running hack jams
><li><b>Number of badges issued per learner (making and understanding badges)</b><ul><li>what about collaborating = learning behavior?</li></ul
</pre>
></li></ul
<pre class="_fck_mw_lspace">   x # of hackasaurus "experiments" by community members
></li
</pre>
><li>Mentoring<ul><li><b>Number of Mentors over time (some measure of level of activity)&nbsp;</b><ul><li>This&nbsp; can probably only be done through a survey, because we let mentors&nbsp; structure their communication however they want - a lot of their&nbsp; interaction happens outside of p2pu.org</li></ul
<pre class="_fck_mw_lspace">   x # of localizations
></li
</pre>
><li>Conversation rates from participant to helper to mentor (deeper participation)</li
<pre class="_fck_mw_lspace">   x # of participants in Hackasaurus events
><li>sequence of comments &gt; that is something we could measure</li
</pre>
><li>Number of Gurus (e.g. users who have ability to issue valuable badges)&nbsp;<ul><li>(does&nbsp; this exist?)- Yes, during the first pilot of Badges on P2PU, they&nbsp; seeded the community with gurus (ie "Has-A-Badge") assessors. @Chloe&nbsp; @Philipp - Do you know how many "gurus" are active on the site?</li></ul
<p>
></li></ul
<h2>BRAINSTORMING METRICS</h2>
></li
Agenda
><li>Peer Assessment (as a form of participation)<ul><li>Share of total users who participated in peer assessment (e.g. 20%)</li
</p>
><li>Share of peer to peer badges compared to overall badges (e.g. 15%)</li
<pre class="_fck_mw_lspace">  Resourcing
><li>Number of badges that lack sufficient reviews<br/><br
</pre>
/></li></ul
<pre class="_fck_mw_lspace">  High level metrics - make adjustments as necessary
></li></ul
</pre>
><b>Qualitative Survey to ask people how they find the experience</b><br
<pre class="_fck_mw_lspace">  Overall goals
/><br
</pre>
/><br
<p>Evaluation Goals and Metrics for Challenges
/><b><i><u>Making</u></i></b><br
</p>
/><br
<pre class="_fck_mw_lspace">   The objective of these metrics is to assess whether or not Challenges on P2PU are a good way to begin creating educational content for Mozilla projects. Both quantitative and qualitative methods are used to determine value for Mozilla, P2PU, and the user.  
/><ul><li>Number of Badges (that are tied to making) issued over time</li
</pre>
><li>Number of Links to participants work (gathering external links will allow us to see what/if people are making)</li
<pre class="_fck_mw_lspace">   Two sets of metrics:
><li>Handle through survey questions<br/><br
</pre>
/><br/><br
<pre class="_fck_mw_lspace">   NOT FOCUS -&gt; Internal - Once within a challenge - what are the metrics that tell us how well someone is doing, and how to make the challenge features / UX better. Click patterns. Drop off points. Etc.  
/></li></ul
</pre>
><b><i><u>Innovating</u></i></b><br
<pre class="_fck_mw_lspace">   FOCUS -&gt; Overall value - We have content and we are moving it into this challenge framework. How is that going? How many people are completing our content (within this framework). Conversion funnel. Completion rates.  
/><br
</pre>
/><ul><li>Handle through survey questions<br/><br
<p>Framing:
/></li></ul
</p>
>PS: I combined the following with Participation above<br
<pre class="_fck_mw_lspace">   Focus metrics on state change - attitude, awareness, actions taken
/><br
</pre>
/><br
<p>3 Levels of Impact for Metrics for MoFo (framing for our larger goals - see if we can re-frame some of the metrics below into Participation and Making/Learning buckets for consistency)
/><b><i><u><s>Community</s></u></i></b><br
</p>
/><br
<pre class="_fck_mw_lspace">   Understanding - what increase in understanding/awareness of the open web and our programs (this is not as relevant for P2PU challenges specifically)
/><i><s>Metrics</s></i><br
</pre>
/><ul><li><br/><br/><br
<p>CV: challenges provide a model for deep understanding, which is measured primarily in the ability of learners to reflect their knowledge. A tangible example of that is to create a tutorial for someone else on a topic.
/></li></ul
</p>
><b><i><u><s>3: Up Peer Assessment / e.g. </s></u></i></b><s>How well does the peer assessment work?</s><br
<pre class="_fck_mw_lspace">   Participation - how many people are participating, in what ways, how deeply
/><i><s>Method</s></i><s>: data analysis (Monitor for trends) – historical and current, 1 week after launch, 4 weeks after launch, 3 months after launch</s><br
</pre>
/><br
<p>CV: an easy way to measure that is sequencing of comments: we do not care necessarily about how many comments have been made, what we care about as an indicator of participation is how many of these comments are an answer to a previous comment. Additionally things like sharing with external social graphs provd=ide an indicator &gt; more on how to assess social assessment &amp; participation here http://bit.ly/vloJcH
/><i><s>Metrics</s></i><br
</p>
/><ul><li><s>Share of total users who participated in peer assessment (e.g. 20%)</s></li
<pre class="_fck_mw_lspace">   Making - how are people improving their skills
><li><s>Share of peer to peer badges compared to overall badges (e.g. 15%)</s></li
</pre>
><li><s>Number of badges that lack sufficient reviews</s><br/><br
<p>CV: not clear on this, how is this different from understanding?
/><br/><br
</p>
/></li></ul
<pre class="_fck_mw_lspace">   Innovation - how are people innovating (not as relevant?)
>PS: Doesn't fit with Mozilla metrics framework:<br
</pre>
/><br
<p>CV: brilliant point- something to consider is measuring how many times for example a unique solution, such as a piece of code, is being re-used in other ways.
/><br
Can  we currently measure all these on P2PU? What do the metrics look like for Hackasaurus (what do we have available to us there?)
/><b><i><u>4: User Survey - Determine perceived value to users</u></i></b><br
CV: no we cannot probably. but we can start considering ways we can measure participation   (stealth assessment) as well as understanding (manual assessment)
/><i>Method</i>: survey 3 months after launch<br
PS: Main comment -&gt; Need to reduce number of metrics / let's track general traffic and then pick a few important ones (max 3-5) to drill down
/><br
Goals
/><i>Sample strata</i><br
Participation (beyond Reach)Determine success of functional improvement
/><ul><li>Learners who abandoned a challenge (target problem areas)</li
How  many people is Hackasaurus currently engaging? How many more might Challenges bring to the Hackasaurus Project? historic, current, and predictive views using quantitative data  
><li>Learners who never started a challenge</li
Method: data analysis (Monitor for trends) – historical and current, weekly collection
><li>Learners who completed a challenge<br/><br
Metrics (increasing depth of participation):
/></li></ul
</p>
><i>Indicators / Variables</i><br
<pre class="_fck_mw_lspace">   Access
/><ul><li>[future version] + contribution to getting a job / only for relevant challenges</li
</pre>
><li>Contribution to personal satisfaction</li
<pre class="_fck_mw_lspace">   Basic demographics (from Google Analytics)
><li>Contribution to social recognition</li
</pre>
><li>Focus on state changes - changes in attitude, awareness, actions taken</li
<pre class="_fck_mw_lspace">   Referrer stats (from Google Analytics)
><li>Did you tell your friends about this?</li
</pre>
><li>Would you recommend it to a friend?</li
<pre class="_fck_mw_lspace">   Session Duration
><li>.... need to do more work here<br/><br
</pre>
/></li></ul
<pre class="_fck_mw_lspace">   Number of total page views by language and country
><b><i><u>5: Ongoing gathering of empirical information to improve individual challenges</u></i></b><br
</pre>
/><i>Method</i>: Each learner is asked a single question after completing a challenge&nbsp;<br
<pre class="_fck_mw_lspace">   Conversion rate
/><br
</pre>
/><i>Metrics</i><br
<pre class="_fck_mw_lspace">   Users who hit the site
/><ul><li>+ Learner Satisfaction</li
</pre>
><li>+ Challenge structure success (target problem areas)<br/><br
<pre class="_fck_mw_lspace">   Share of users who register but never start a challenge
/></li></ul
</pre>
>Possible Wording (need to wordsmith) -&nbsp;<br
<pre class="_fck_mw_lspace">   Share of users who start a challenge
/><ul><li>Help us make this challenge better!&nbsp;<ul><li>Did you think this challenge was a little silly – just right - too boring</li
</pre>
><li>Did you think this challenge was too hard – just right – too easy / simple<br/><br
<pre class="_fck_mw_lspace">   Share who abandon a challenge
/><br/><br
</pre>
/></li></ul
<pre class="_fck_mw_lspace">   Share of users who complete a challenge
></li></ul
</pre>
><b>OTHER NOTES</b><br
<pre class="_fck_mw_lspace">   Share of users who complete more than one challenge (2, 3, 4, ...)
/><b><i><u>ROI (Long Term)</u></i></b><br
</pre>
/>How have donations increased or decreased? How has participation spread?<br
<pre class="_fck_mw_lspace">   Share of users who complete a series of challenges
/><br
</pre>
/><i>Method</i>: data analysis (Quantitative from Mozilla and P2PU user data, donation data) – Ongoing after launch, long term.<br
<pre class="_fck_mw_lspace">   Number of Challenges completed per learner
/><br
</pre>
/><i>Metrics</i><br
<pre class="_fck_mw_lspace">   Nice to have: Usage pattern over time (levels of activity / completion speed)
/><ul><li>+ donation stream to p2pu and Mozilla</li
</pre>
><li>+ number of new signups</li
<pre class="_fck_mw_lspace">   Maybe hours / week over time
><li>- Staff Hours</li
</pre>
><li>- Average Response Rate</li
<pre class="_fck_mw_lspace">   Learning
><li>+ Total Likes, One ups or RT on social media messaging marked #challenges&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br/><br
</pre>
/></li></ul
<pre class="_fck_mw_lspace">   Number of Active Learners over time (ie those who complete a task once a week)  
><i>Notes</i><br
</pre>
/><ul><li>Suggestion is to postpone this and add to later phase (agree)</li
<pre class="_fck_mw_lspace">   Number of Challenge/Curriculum Completions over time (ie Learners who have completed all the Challenge/Curriculum tasks)
><li>Risk&nbsp; that adding option to donate into the challenge will change the user's&nbsp; learning experience (we really want to measure if the learning works at&nbsp; this point - adding donations may influence the outcomes)<ul><li>- Average Challenge Completion Time (currently located within the Challenge&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; metrics)</li
</pre>
><li>- Average Task Completion Times</li
<pre class="_fck_mw_lspace">   Share of users who complete at least one challenge
><li>+ Number of new challenges by the community</li></ul
</pre>
></li></ul
<pre class="_fck_mw_lspace">   Ratio of users who started a challenge and completed it
>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br
</pre>
/><b>Quantitative</b><br
<pre class="_fck_mw_lspace">   Click Stream
/><br
</pre>
/>Collecting these metrics will allow us to define meta metrics (ie number of learners vs non learners vs power learners or whatever)<br
<pre class="_fck_mw_lspace">   Badges
/><br
</pre>
/><b><u>Across the Board:</u></b><br
<pre class="_fck_mw_lspace">   Number of Badges issued over time (organized by badge type)
/><i>Metrics for Understanding and Awareness of Open Web and Mozilla Projects</i><br
</pre>
/><ul><li>Basic demographics</li
<pre class="_fck_mw_lspace">   Number of badges issued per learner (making and understanding badges)
><li>Number of total page views by language and country</li
</pre>
><li>Referrer stats</li
<pre class="_fck_mw_lspace">   what about collaborating = learning behavior?
><li>Click Stream<br/><br
</pre>
/></li></ul
<pre class="_fck_mw_lspace">   Mentoring
><b>The Metrics Story:</b> Collecting the demographics of users will allow Mozilla to further focus their programs to specific target groups. Total number of page views by language and country furthers this definition. This will allow Mozilla to spend it's resources designing programs for people, programs that work. This will influence stats in participation depth, which will show progress towards the 10 Million Webmakers marker. Knowing which referrers are the most valuable will help streamline resources and eliminate erroneous spending on marketing and/or partnerships. Following the clickstream will help Mozilla understand what sorts of content inspire understanding, which will further Mozilla's ability to create content that pushes people to becoming webmakers.<br
</pre>
/><br
<pre class="_fck_mw_lspace">   Number of Mentors over time (some measure of level of activity)  
/><i>Participation Depth</i><br
</pre>
/><ul><li>IP</li
<pre class="_fck_mw_lspace">   This can probably only be done through a survey, because we let mentors structure their communication however they want - a lot of their interaction happens outside of p2pu.org
><li>Session Duration &amp; Clicks per Session</li
</pre>
><li>Think time</li
<pre class="_fck_mw_lspace">   Conversation rates from participant to helper to mentor (deeper participation)
><li>Conversion rate<ul><li>Share of users who register but never <i>do</i> anything</li></ul
</pre>
></li></ul
<pre class="_fck_mw_lspace">  sequence of comments &gt; that is something we could measure
>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br
</pre>
/><b>The Metrics Story: </b>Although IP logging is a raw metric, with thousands of users it will be valuable to see how deep into Mozilla programming users are going. By cross comparing IP logs between programs, Mozilla will have a better view of influence and partipation depth across the board. Collecting session durations and clicks per session and seeing an increase in these two metrics over time will further underline this viewpoint. Think time can be used to filter out users who simply browse. Decreasing negative conversion rates is important in showing strength of programming.<br
<pre class="_fck_mw_lspace">   Number of Gurus (e.g. users who have ability to issue valuable badges)  
/><br
</pre>
/><i>Skill Improvement</i><br
<pre class="_fck_mw_lspace">   (does this exist?)- Yes, during the first pilot of Badges on P2PU, they seeded the community with gurus (ie "Has-A-Badge") assessors. @Chloe @Philipp - Do you know how many "gurus" are active on the site?
/><ul><li>Number of Badges issued over time (organized by badge type)</li
</pre>
><li>Number of Links to participants work (gathering external links will allow us to see&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; what/if people are making)<br/><br
<pre class="_fck_mw_lspace">   Peer Assessment (as a form of participation)
/></li></ul
</pre>
><b>The Metrics Story:</b> The more badges that are issued and the more quality links that are submitted to Mozilla sites, the clearer the influence of Mozilla on skill improvement.&nbsp;<br
<pre class="_fck_mw_lspace">   Share of total users who participated in peer assessment (e.g. 20%)
/><br
</pre>
/><b><u>Platform Specific</u></b><br
<pre class="_fck_mw_lspace">   Share of peer to peer badges compared to overall badges (e.g. 15%)
/><br
</pre>
/><b>P2PU</b><br
<pre class="_fck_mw_lspace">   Number of badges that lack sufficient reviews
/><i>Participation Depth</i><br
</pre>
/><ul><li>Number of Mentors over time</li
<p>Qualitative Survey to ask people how they find the experience
><li>Conversation rates<ul><li>from participant to helper to mentor (deeper participation)</li
Making
><li>Number of Active Learners over time (ie those who complete a task once a week)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li
</p>
><li>Share of users who complete at least one challenge</li
<pre class="_fck_mw_lspace">   Number of Badges (that are tied to making) issued over time
><li>Ratio of users who started a challenge and completed it</li></ul
</pre>
></li
<pre class="_fck_mw_lspace">   Number of Links to participants work (gathering external links will allow us to see what/if people are making)
><li>Share of total users who participated in peer assessment (e.g. 20%)</li
</pre>
><li>Share of peer to peer badges compared to overall badges (e.g. 15%)<br/><br
<pre class="_fck_mw_lspace">   Handle through survey questions
/></li></ul
</pre>
><i>Skill Improvement</i><br
<p>Innovating
/><ul><li>Number of Gurus (e.g. users who have ability to issue valuable badges)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li
</p>
><li>Number of badges that lack sufficient reviews</li
<pre class="_fck_mw_lspace">   Handle through survey questions
><li>Number of Challenge/Curriculum Completions over time (ie Learners who have&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; completed all the Challenge/Curriculum tasks)<br/><br
</pre>
/></li></ul
<p>PS: I combined the following with Participation above
><b><u>01.12.11 Metrics Meeting</u></b><br
Community
/><br
Metrics
/><b>Attendees</b><br
</p><p>3: Up Peer Assessment / e.g. How well does the peer assessment work?
/><ul><li>Steph</li
Method: data analysis (Monitor for trends) – historical and current, 1 week after launch, 4 weeks after launch, 3 months after launch
><li>Laura</li
Metrics
><li>Philipp</li
</p>
><li>Chloe<br/><br
<pre class="_fck_mw_lspace">   Share of total users who participated in peer assessment (e.g. 20%)
/></li></ul
</pre>
><b>Dealing with Resources</b><br
<pre class="_fck_mw_lspace">   Share of peer to peer badges compared to overall badges (e.g. 15%)
/><ul><li>Need&nbsp;&nbsp; to extend Arlton's contract to work on Challenges UX – involved 3.5&nbsp;&nbsp; months ago. P2PU hired 2 people, 1 for Challenge content and 1 for UX.&nbsp;&nbsp;&nbsp; Arlton and Jamie Curle.&nbsp;<ul><li>Was getting the UX person the most efficient way to use the funds (Philipp says no). Discuss in longer call (TBD).</li></ul
</pre>
></li
<pre class="_fck_mw_lspace">   Number of badges that lack sufficient reviews
><li>Need to figure out the longer term strategy for people</li
</pre>
><li>SoW&nbsp;&nbsp; – funded early badges work, SoW Community Management, Webmaking 101&nbsp;&nbsp; Challenges. 50% p2pu funding (Zuzel, Chloe, John paid with p2pu funds)&nbsp;&nbsp; and 50% from SoW funding.&nbsp;</li
<p>PS: Doesn't fit with Mozilla metrics framework:
><li>By January, launching Hackasaurus on P2PU – get Challenges rocking the house.</li
4: User Survey - Determine perceived value to users
><li>Zuzel is superhuman -- really?<br/><br
Method: survey 3 months after launch
/></li></ul
Sample strata
><b>Metrics Discussion</b><br
</p>
/><a href="https://etherpad.mozilla.org/challenges-evaluation-goals">https://etherpad.mozilla.org/challenges-evaluation-goals</a><br
<pre class="_fck_mw_lspace">   Learners who abandoned a challenge (target problem areas)
/>Laura to set up metric meeting with Jess. Consistent set of metrics! Invite Steph&nbsp;<br
</pre>
/>How&nbsp;&nbsp; do the p2pu metrics line up with the Hackasaurus metrics, which one&nbsp; are&nbsp; close enough aligned that we can then compare. Comparision chart.<br
<pre class="_fck_mw_lspace">   Learners who never started a challenge
/>Parse metrics – send out<br
</pre>
/><br
<pre class="_fck_mw_lspace">  Learners who completed a challenge
/><b>Agreements</b><br
</pre>
/>Challenge Fixes Board: Released Dec. 14<br
<p>Indicators / Variables
/>Implementation of Partner Account that allows Hackasaurus to run their challenges<br
</p>
/><br
<pre class="_fck_mw_lspace">   [future version] + contribution to getting a job / only for relevant challenges
/><b>Success looks like:</b><br
</pre>
/>The list of agreed upon must haves and launch by mid January
<pre class="_fck_mw_lspace">   Contribution to personal satisfaction
</pre>
<pre class="_fck_mw_lspace">   Contribution to social recognition
</pre>
<pre class="_fck_mw_lspace">   Focus on state changes - changes in attitude, awareness, actions taken
</pre>
<pre class="_fck_mw_lspace">   Did you tell your friends about this?
</pre>
<pre class="_fck_mw_lspace">   Would you recommend it to a friend?
</pre>
<pre class="_fck_mw_lspace">   .... need to do more work here
</pre>
<p>5: Ongoing gathering of empirical information to improve individual challenges
Method: Each learner is asked a single question after completing a challenge
Metrics
</p>
<pre class="_fck_mw_lspace">  + Learner Satisfaction
</pre>
<pre class="_fck_mw_lspace">   + Challenge structure success (target problem areas)
</pre>
<p>Possible Wording (need to wordsmith) -
</p>
<pre class="_fck_mw_lspace">  Help us make this challenge better!
</pre>
<pre class="_fck_mw_lspace">   Did you think this challenge was a little silly – just right - too boring
</pre>
<pre class="_fck_mw_lspace">   Did you think this challenge was too hard – just right – too easy / simple
</pre>
<p>OTHER NOTES
ROI (Long Term)
How have donations increased or decreased? How has participation spread?
Method: data analysis (Quantitative from Mozilla and P2PU user data, donation data) – Ongoing after launch, long term.
Metrics
</p>
<pre class="_fck_mw_lspace">   + donation stream to p2pu and Mozilla
</pre>
<pre class="_fck_mw_lspace">   + number of new signups
</pre>
<pre class="_fck_mw_lspace">   - Staff Hours
</pre>
<pre class="_fck_mw_lspace">  - Average Response Rate
</pre>
<pre class="_fck_mw_lspace">   + Total Likes, One ups or RT on social media messaging marked #challenges       
</pre>
<p>Notes
</p>
<pre class="_fck_mw_lspace">   Suggestion is to postpone this and add to later phase (agree)
</pre>
<pre class="_fck_mw_lspace">   Risk  that adding option to donate into the challenge will change the user's  learning experience (we really want to measure if the learning works at  this point - adding donations may influence the outcomes)
</pre>
<pre class="_fck_mw_lspace">   - Average Challenge Completion Time (currently located within the Challenge        metrics)
</pre>
<pre class="_fck_mw_lspace">  - Average Task Completion Times
</pre>
<pre class="_fck_mw_lspace">   + Number of new challenges by the community
</pre>
<p><br />              
Quantitative
Collecting these metrics will allow us to define meta metrics (ie number of learners vs non learners vs power learners or whatever)
Across the Board:
Metrics for Understanding and Awareness of Open Web and Mozilla Projects
</p>
<pre class="_fck_mw_lspace">   Basic demographics
</pre>
<pre class="_fck_mw_lspace">   Number of total page views by language and country
</pre>
<pre class="_fck_mw_lspace">  Referrer stats
</pre>
<pre class="_fck_mw_lspace">   Click Stream
</pre>
<p>The Metrics Story: Collecting the demographics of users will allow Mozilla to further focus their programs to specific target groups. Total number of page views by language and country furthers this definition. This will allow Mozilla to spend it's resources designing programs for people, programs that work. This will influence stats in participation depth, which will show progress towards the 10 Million Webmakers marker. Knowing which referrers are the most valuable will help streamline resources and eliminate erroneous spending on marketing and/or partnerships. Following the clickstream will help Mozilla understand what sorts of content inspire understanding, which will further Mozilla's ability to create content that pushes people to becoming webmakers.
Participation Depth
</p>
<pre class="_fck_mw_lspace">   IP
</pre>
<pre class="_fck_mw_lspace">   Session Duration &amp; Clicks per Session
</pre>
<pre class="_fck_mw_lspace">   Think time
</pre>
<pre class="_fck_mw_lspace">   Conversion rate
</pre>
<pre class="_fck_mw_lspace">   Share of users who register but never do anything
</pre>
<p><br />                                  
The Metrics Story: Although IP logging is a raw metric, with thousands of users it will be valuable to see how deep into Mozilla programming users are going. By cross comparing IP logs between programs, Mozilla will have a better view of influence and partipation depth across the board. Collecting session durations and clicks per session and seeing an increase in these two metrics over time will further underline this viewpoint. Think time can be used to filter out users who simply browse. Decreasing negative conversion rates is important in showing strength of programming.
Skill Improvement
</p>
<pre class="_fck_mw_lspace">   Number of Badges issued over time (organized by badge type)
</pre>
<pre class="_fck_mw_lspace">   Number of Links to participants work (gathering external links will allow us to see        what/if people are making)
</pre>
<p>The Metrics Story: The more badges that are issued and the more quality links that are submitted to Mozilla sites, the clearer the influence of Mozilla on skill improvement.
Platform Specific
P2PU
Participation Depth
</p>
<pre class="_fck_mw_lspace">   Number of Mentors over time
</pre>
<pre class="_fck_mw_lspace">   Conversation rates
</pre>
<pre class="_fck_mw_lspace">   from participant to helper to mentor (deeper participation)
</pre>
<pre class="_fck_mw_lspace">   Number of Active Learners over time (ie those who complete a task once a week)        
</pre>
<pre class="_fck_mw_lspace">   Share of users who complete at least one challenge
</pre>
<pre class="_fck_mw_lspace">   Ratio of users who started a challenge and completed it
</pre>
<pre class="_fck_mw_lspace">   Share of total users who participated in peer assessment (e.g. 20%)
</pre>
<pre class="_fck_mw_lspace">   Share of peer to peer badges compared to overall badges (e.g. 15%)
</pre>
<p>Skill Improvement
</p>
<pre class="_fck_mw_lspace">   Number of Gurus (e.g. users who have ability to issue valuable badges)         
</pre>
<pre class="_fck_mw_lspace">  Number of badges that lack sufficient reviews
</pre>
<pre class="_fck_mw_lspace">   Number of Challenge/Curriculum Completions over time (ie Learners who have        completed all the Challenge/Curriculum tasks)
</pre>
<p>01.12.11 Metrics Meeting
Attendees
</p>
<pre class="_fck_mw_lspace">   Steph
</pre>
<pre class="_fck_mw_lspace">   Laura
</pre>
<pre class="_fck_mw_lspace">  Philipp
</pre>
<pre class="_fck_mw_lspace">   Chloe
</pre>
<p>Dealing with Resources
</p>
<pre class="_fck_mw_lspace">   Need  to extend Arlton's contract to work on Challenges UX – involved 3.5  months ago. P2PU hired 2 people, 1 for Challenge content and 1 for UX.    Arlton and Jamie Curle.
</pre>
<pre class="_fck_mw_lspace">   Was getting the UX person the most efficient way to use the funds (Philipp says no). Discuss in longer call (TBD).
</pre>
<pre class="_fck_mw_lspace">   Need to figure out the longer term strategy for people
</pre>
<pre class="_fck_mw_lspace">   SoW  – funded early badges work, SoW Community Management, Webmaking 101  Challenges. 50% p2pu funding (Zuzel, Chloe, John paid with p2pu funds)  and 50% from SoW funding.
</pre>
<pre class="_fck_mw_lspace">   By January, launching Hackasaurus on P2PU – get Challenges rocking the house.
</pre>
<pre class="_fck_mw_lspace">   Zuzel is superhuman -- really?
</pre>
<p>Metrics Discussion
https://etherpad.mozilla.org/challenges-evaluation-goals
Laura to set up metric meeting with Jess. Consistent set of metrics! Invite Steph
How  do the p2pu metrics line up with the Hackasaurus metrics, which one  are  close enough aligned that we can then compare. Comparision chart.
Parse metrics – send out
Agreements
Challenge Fixes Board: Released Dec. 14
Implementation of Partner Account that allows Hackasaurus to run their challenges
Success looks like:
The list of agreed upon must haves and launch by mid January
</p>

Latest revision as of 20:17, 28 December 2011

Final Metrics for Challenges on P2PU

Evaluation Goals and Metrics for Challenges

  • The   objective of these metrics is to assess whether or not Challenges on P2PU are a good way to begin creating educational content for Mozilla projects. Both quantitative and qualitative methods are used to determine value for Mozilla, P2PU, and the user. 
  • The  focus is on overall value - We have content and we are moving it into this challenge framework. How is that going? How many people are completing our content (within this framework). Conversion funnel. Completion rates. 

  • Conversion rate
    • Users who hit the site
      • N = not logged-in users (data from google analytics) accessing:
        • School of Webcraft home page
        • Challenge set home pages
        • Challenge home pages
        • Challenge Task pages
    • Share of users who register but never start a challenge 
      • Registered users only --> Visit a challenge related page but no challenge is started
    • Share of users who start a challenge
      • Share of users who complete a challenge
        • Only users who started a challenge at least 3 days prior to reporting
      • Share who abandon a challenge
        • Users who are inactive for 10 days
        • Users who manually "leave" a challenge
    • Share of users who complete more than one challenge (2, 3, 4, ...)
    • Share of users who complete a series (=set) of challenges
    • Number of Challenges completed per learner
      • N = Users who completed at least one challenge
  • Badges
    • Number of Badges issued over time (organized by badge type)
    • Number of badges issued per learner (badge categories: making, understanding)
  • Mentors
    • Number of Mentors over time (some measure of level of activity)
      • Todo -> Check with John
  • Qualitative Survey to ask people how they find the experience
    • Laura to prepare

Hackasaurus Metrics

Understanding

  • Number of Users who hit the site
  • Number of Badges issued over time
  • Number of people signing up for our email/group lists/pledges/campaigns/twitter/bookmarks
  • Number of Hacktivity Kit downloads

Making

  • Number of websites developed
  • People using our templates 
  • Number of hacked webpages
  • Number of Hackasaurus events 
  • Number of event participants
  • Goggle activations (bookmarklet uses) per day

Innovating


  • patches (or forks) from volunteer contributors (dev and curriculum)
  • x # of hackasaurus "experiments" by community members
  • localizations (Hacktivity Kit + web+ goggles)

*****************************************************************

Project Components: 

Website:

  • Number of people visiting
  • XXX page views per day
  • Number of people signing up for our email/group lists/pledges/campaigns/twitter/bookmarks
  • page views per visit
  • return visitors
  • links clicked
  • # of backlinks

Goggles:

  • XXX activations (bookmarklet uses) per day
  • XXX patches (or forks) from volunteer contributors

Hacktivity Kit:

  • XXX # of downloads by the end of 2012/ Q1 - I'd collect this monthly (or weekly)
  • x# of Hacktivity Kit localizations 
    • or 2x the number of localizations from 2011
  • x # of feedback questionnaires completed

P2PU Challenges(this could also be for other things like parable or nav badge if not integrated into p2pu - "interactive challenges")

  • x # of webpages created as a result of challenges
  • Share of users who start a (Hackasaurus) challenge
    • Share who abandon a challenge
    • Share of users who complete a challenge
  • Share of users who complete more than one challenge (2, 3, 4, ...)
  • Share of users who complete a series of challenges
  • Number of Challenges completed per learner
  • Number of Badges issued over time (organized by badge type)
  • Number of badges issued per learner (making and understanding badges)
  • Number of Mentors over time (some measure of level of activity) 

Community

  • x # of countries running hack jams
  • x # of hackasaurus "experiments" by community members
  • x # of localizations
  • x # of participants in Hackasaurus events

BRAINSTORMING METRICS:

Overall goals

>Evaluation Goals and Metrics for Challenges

  • The  objective of these metrics is to assess whether or not Challenges on  P2PU are a good way to begin creating educational content for Mozilla  projects. Both quantitative and qualitative methods are used to  determine value for Mozilla, P2PU, and the user. 
  • Two sets of metrics:
    • NOT  FOCUS -> Internal - Once within a challenge - what are the metrics  that tell us how well someone is doing, and how to make the challenge  features / UX better. Click patterns. Drop off points. Etc. 
    • FOCUS  -> Overall value - We have content and we are moving it into this  challenge framework. How is that going? How many people are completing  our content (within this framework). Conversion funnel. Completion  rates. 

Framing:

  • Focus metrics on state change - attitude, awareness, actions taken

3  Levels of Impact for Metrics for MoFo (framing for our larger goals -  see if we can re-frame some of the metrics below into Participation and  Making/Learning buckets for consistency)

  • Understanding  - what increase in understanding/awareness of the open web and our  programs (this is not as relevant for P2PU challenges specifically)

CV:  challenges provide a model for deep understanding, which is measured  primarily in the ability of learners to reflect their knowledge. A  tangible example of that is to create a tutorial for someone else on a  topic.

  • Participation - how many people are participating, in what ways, how deeply

CV:  an easy way to measure that is sequencing of comments: we do not care  necessarily about how many comments have been made, what we care about  as an indicator of participation is how many of these comments are an  answer to a previous comment. Additionally things like sharing with  external social graphs provd=ide an indicator > more on how to assess  social assessment & participation here <a href="http://bit.ly/vloJcH">http://bit.ly/vloJcH</a>

  • Making - how are people improving their skills

CV: not clear on this, how is this different from understanding?

  • Innovation - how are people innovating (not as relevant?)

CV:  brilliant point- something to consider is measuring how many times for  example a unique solution, such as a piece of code, is being re-used in  other ways.

Can  we currently measure  all these on P2PU?  What do the metrics look like  for Hackasaurus (what  do we have available to us there?)
CV:  no we cannot probably. but we can start considering ways we can measure  participation   (stealth assessment) as well as understanding (manual  assessment)

PS:  Main comment -> Need to reduce number of metrics / let's track  general traffic and then pick a few important ones (max 3-5) to drill  down


Goals

Participation (beyond Reach)Determine success of functional improvement

How  many people is Hackasaurus currently engaging? How many more might  Challenges bring to the Hackasaurus Project? historic, current, and  predictive views using quantitative data 

Method: data analysis (Monitor for trends) – historical and current, weekly collection

Metrics (increasing depth of participation):

  • Access
    • Basic demographics (from Google Analytics)
    • Referrer stats (from Google Analytics)
    • Session Duration
    • Number of total page views by language and country
  • Conversion rate
    • Users who hit the site
    • Share of users who register but never start a challenge
    • Share of users who start a challenge
      • Share who abandon a challenge
      • Share of users who complete a challenge
    • Share of users who complete more than one challenge (2, 3, 4, ...)
    • Share of users who complete a series of challenges
    • Number of Challenges completed per learner
    • Nice to have: Usage pattern over time (levels of activity / completion speed)
      • Maybe hours / week over time
  • Learning
    • Number of Active Learners over time (ie those who complete a task once a week) 
    • Number of Challenge/Curriculum Completions over time (ie Learners who have completed all the Challenge/Curriculum tasks)
    • Share of users who complete at least one challenge
    • Ratio of users who started a challenge and completed it
    • Click Stream
  • Badges
    • Number of Badges issued over time (organized by badge type)
    • Number of badges issued per learner (making and understanding badges)
      • what about collaborating = learning behavior?
  • Mentoring
    • Number of Mentors over time (some measure of level of activity) 
      • This  can probably only be done through a survey, because we let mentors  structure their communication however they want - a lot of their  interaction happens outside of p2pu.org
    • Conversation rates from participant to helper to mentor (deeper participation)
    • sequence of comments > that is something we could measure
    • Number of Gurus (e.g. users who have ability to issue valuable badges) 
      • (does  this exist?)- Yes, during the first pilot of Badges on P2PU, they  seeded the community with gurus (ie "Has-A-Badge") assessors. @Chloe  @Philipp - Do you know how many "gurus" are active on the site?
  • Peer Assessment (as a form of participation)
    • Share of total users who participated in peer assessment (e.g. 20%)
    • Share of peer to peer badges compared to overall badges (e.g. 15%)
    • Number of badges that lack sufficient reviews

Qualitative Survey to ask people how they find the experience


Making

  • Number of Badges (that are tied to making) issued over time
  • Number of Links to participants work (gathering external links will allow us to see what/if people are making)
  • Handle through survey questions



Innovating

  • Handle through survey questions

PS: I combined the following with Participation above


Community

Metrics




3: Up Peer Assessment / e.g. How well does the peer assessment work?
Method: data analysis (Monitor for trends) – historical and current, 1 week after launch, 4 weeks after launch, 3 months after launch

Metrics

  • Share of total users who participated in peer assessment (e.g. 20%)
  • Share of peer to peer badges compared to overall badges (e.g. 15%)
  • Number of badges that lack sufficient reviews



PS: Doesn't fit with Mozilla metrics framework:


4: User Survey - Determine perceived value to users
Method: survey 3 months after launch

Sample strata

  • Learners who abandoned a challenge (target problem areas)
  • Learners who never started a challenge
  • Learners who completed a challenge

Indicators / Variables

  • [future version] + contribution to getting a job / only for relevant challenges
  • Contribution to personal satisfaction
  • Contribution to social recognition
  • Focus on state changes - changes in attitude, awareness, actions taken
  • Did you tell your friends about this?
  • Would you recommend it to a friend?
  • .... need to do more work here

5: Ongoing gathering of empirical information to improve individual challenges
Method: Each learner is asked a single question after completing a challenge 

Metrics

  • + Learner Satisfaction
  • + Challenge structure success (target problem areas)

Possible Wording (need to wordsmith) - 

  • Help us make this challenge better! 
    • Did you think this challenge was a little silly – just right - too boring
    • Did you think this challenge was too hard – just right – too easy / simple



OTHER NOTES
ROI (Long Term)
How have donations increased or decreased? How has participation spread?

Method: data analysis (Quantitative from Mozilla and P2PU user data, donation data) – Ongoing after launch, long term.

Metrics

  • + donation stream to p2pu and Mozilla
  • + number of new signups
  • - Staff Hours
  • - Average Response Rate
  • + Total Likes, One ups or RT on social media messaging marked #challenges        

Notes

  • Suggestion is to postpone this and add to later phase (agree)
  • Risk  that adding option to donate into the challenge will change the user's  learning experience (we really want to measure if the learning works at  this point - adding donations may influence the outcomes)
    • - Average Challenge Completion Time (currently located within the Challenge         metrics)
    • - Average Task Completion Times
    • + Number of new challenges by the community

                
Quantitative

Collecting these metrics will allow us to define meta metrics (ie number of learners vs non learners vs power learners or whatever)

Across the Board:
Metrics for Understanding and Awareness of Open Web and Mozilla Projects

  • Basic demographics
  • Number of total page views by language and country
  • Referrer stats
  • Click Stream

The Metrics Story: Collecting the demographics of users will allow Mozilla to further focus their programs to specific target groups. Total number of page views by language and country furthers this definition. This will allow Mozilla to spend it's resources designing programs for people, programs that work. This will influence stats in participation depth, which will show progress towards the 10 Million Webmakers marker. Knowing which referrers are the most valuable will help streamline resources and eliminate erroneous spending on marketing and/or partnerships. Following the clickstream will help Mozilla understand what sorts of content inspire understanding, which will further Mozilla's ability to create content that pushes people to becoming webmakers.

Participation Depth

  • IP
  • Session Duration & Clicks per Session
  • Think time
  • Conversion rate
    • Share of users who register but never do anything

                                   
The Metrics Story: Although IP logging is a raw metric, with thousands of users it will be valuable to see how deep into Mozilla programming users are going. By cross comparing IP logs between programs, Mozilla will have a better view of influence and partipation depth across the board. Collecting session durations and clicks per session and seeing an increase in these two metrics over time will further underline this viewpoint. Think time can be used to filter out users who simply browse. Decreasing negative conversion rates is important in showing strength of programming.

Skill Improvement

  • Number of Badges issued over time (organized by badge type)
  • Number of Links to participants work (gathering external links will allow us to see         what/if people are making)

The Metrics Story: The more badges that are issued and the more quality links that are submitted to Mozilla sites, the clearer the influence of Mozilla on skill improvement. 

Platform Specific

P2PU
Participation Depth

  • Number of Mentors over time
  • Conversation rates
    • from participant to helper to mentor (deeper participation)
    • Number of Active Learners over time (ie those who complete a task once a week)          
    • Share of users who complete at least one challenge
    • Ratio of users who started a challenge and completed it
  • Share of total users who participated in peer assessment (e.g. 20%)
  • Share of peer to peer badges compared to overall badges (e.g. 15%)

Skill Improvement

  • Number of Gurus (e.g. users who have ability to issue valuable badges)          
  • Number of badges that lack sufficient reviews
  • Number of Challenge/Curriculum Completions over time (ie Learners who have         completed all the Challenge/Curriculum tasks)

01.12.11 Metrics Meeting

Attendees

  • Steph
  • Laura
  • Philipp
  • Chloe

Dealing with Resources

  • Need   to extend Arlton's contract to work on Challenges UX – involved 3.5   months ago. P2PU hired 2 people, 1 for Challenge content and 1 for UX.    Arlton and Jamie Curle. 
    • Was getting the UX person the most efficient way to use the funds (Philipp says no). Discuss in longer call (TBD).
  • Need to figure out the longer term strategy for people
  • SoW   – funded early badges work, SoW Community Management, Webmaking 101   Challenges. 50% p2pu funding (Zuzel, Chloe, John paid with p2pu funds)   and 50% from SoW funding. 
  • By January, launching Hackasaurus on P2PU – get Challenges rocking the house.
  • Zuzel is superhuman -- really?

Metrics Discussion
<a href="https://etherpad.mozilla.org/challenges-evaluation-goals">https://etherpad.mozilla.org/challenges-evaluation-goals</a>
Laura to set up metric meeting with Jess. Consistent set of metrics! Invite Steph 
How   do the p2pu metrics line up with the Hackasaurus metrics, which one  are  close enough aligned that we can then compare. Comparision chart.
Parse metrics – send out

Agreements
Challenge Fixes Board: Released Dec. 14
Implementation of Partner Account that allows Hackasaurus to run their challenges

Success looks like:
The list of agreed upon must haves and launch by mid January