Thanks everyone! The survey is now closed, and I am writing to share the results.
Straight to the link: This is the google presentation I turned in for the class assignment:
Pynk Prediction Results Survey
I am delayed because I hoped to do a bit more write up about the survey questions, underlying concepts, and essentially why the survey was designed as it was. That hasn’t quite happened yet. So below is a short summary.
Questions were designed to capture motivation, consistency, and optimism around using Pynk. My primary focal points for the questions were intrinsic and extrinsic motivation, which the three types of Pynk prediction results represent a good variety of motivators. In its structure, there is something for everyone. Wisdom Points - extrinsic motivator - the “reward” for participation. Crowd Rank - somewhat both extrinsic / intrinsic - competition can be an intrinsic motivator, however, being better than everyone else is more extrinsic. Prediction accuracy - intrinsic motivator - “how well can I do on this task / would I participate in this task on its own for the sake of learning and improvement?”
I am biased toward appealing to intrinsic motivations. Intrinsic motivation also is correlated with the person being willing to continue learning, working, allocating time to a task even beyond the necessary time. However, I see motivations as a continuum. I believe people’s motivations can shift with new insights, learning or translation of skills to other aspects of life. Therefore, I think it’s shortsighted to align with intrinsic motivation alone, and I think “prediction accuracy, crowd rank, and wisdom points” indicate Pynk is a well rounded platform regarding motivation.
This survey was a small sample size, all people that are active in the community (if you came across the link and clicked it, you must be active in the community!), so probably pretty dedicated Pynksters, and not a complete representation of the Pynk Crowd. That said, this group of Pynksters mostly chose prediction accuracy over crowd rank and wisdom points as their preferred measure of prediction result. In turn, I received quotes suggesting that prediction result communications place more emphasis on accuracy.
So, I’m happy to discuss further. I’m curious about others’ impressions of the survey, results, and other interpretations you might have. Looking forward to additional thoughts!