Participation/Lab/methodology: Difference between revisions
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==Learning Methodology== | ==Learning Methodology== | ||
In the coming weeks a core team from the Participation Lab will be developing a systematic methodology for learning and evaluation. | |||
'''This methodology will:''' | |||
* Outline the beliefs and establish hypothesis related to participation | * Outline the beliefs and establish hypothesis related to participation | ||
* Provide a standardized set-up and design for learning | * Provide a standardized set-up and design for learning |
Revision as of 18:48, 10 April 2015
Mozilla Participation Lab Methodology | |
Team Lead: George Roter | Mailing List: Participation on Discourse |
The Mozilla Participation Lab will build a strategy and outline new approaches to participation that will bring a step-change in the value that participation brings to Mozilla and Mozillians. |
Learning Methodology
In the coming weeks a core team from the Participation Lab will be developing a systematic methodology for learning and evaluation.
This methodology will:
- Outline the beliefs and establish hypothesis related to participation
- Provide a standardized set-up and design for learning
- Incorporate volunteers throughout the process
- Create standards of validity and attribution
- Facilitate coordination and tracking
- Provide clear methods for data aggregation, analysis and synthesis
Method Framework:
- Clear Goals and Hypotheses: Starts with a clear view of what the issue is that is being examined. View the Planning Framework for Experiments for more details.
- Activity Design: Getting into details of how the activity could work including a measurement of investments being made and the value being created by each activity.
- Quick Iteration:Moving quickly to implement the plans and to acquire preliminary data.
- Analysis of Return on Investment for Mozilla and Mozillians:Analyze results in terms of efficacy. How well did it accomplish the initial goal? Is the hypothesis still valid?
- Redesign a new iteration, or end the experiment:Based on initial data from (4) decide whether to adjust, redesign or terminate the experiment.
- Repeat (3) to (5)
- Document lessons: Synthesis data and clearly document results.