[Measuring Impact] Data-Driven Content Performance

[lee0007]

Agree, objective performance data is not the only way and I appreciate your consideration and feedback on the information shared. Using broad brush strokes here to consider how performance data can inform impact measures.

@Sinkas

I believe we shouldn’t get the Missions to conform with the “Impact=Profit” rule because it creates a lack of alignment.

I would counter that, Impact = Profit aligns directly with the Optimistic Vision
Q: If not the vision, what do you feel we should align on?

I 100% support funding work to deliver impact, just with funding tied to impact (results) as opposed to work (time)

EXAMPLE
Consider the results of work to create, publish and promote video(s) that generates a 50,000 OP increase to voteable supply

Person A takes 12 hours to create one video to achieve the result
Person B takes three months to create 10 videos (480 hrs) to achieve the result

All other factors /results aside and on the basis that Impact = Profit should person B be rewarded 468x or even 9x more than person A for delivering the same results?
Why?

You also offered the following example, which for me highlights the distinction I draw above between
work vs impact | quantity vs quality

@Sinkas

One might value the quantity of views while someone else might value the quality/“result” of the views. That means I might put out a video that’s seen by 10,000 people that do nothing as a result of the video, or I might put out a video that’s seen by 1,000 people, but 30 of them create a delegate profile as a result. How to judge what is most important if we’re talking about potential results that we have no indicator of?

imo the choice here is clear for Collective Intent 4 Governance Accessibility because expected results are indicated

@system

Increasing the votable supply and reducing the concentration of voting power should be important bi-products of improved accessibility

Conversely, the resulting impact might not be so clear for Intent 3 Raising Awareness of the Optimistic Vision. However, average time watched is a more effective measure of performance than views.

In terms of creator rewards which results are more likely to correlate to higher impact

• y people that watch a video for an average of 1 of 30 minutes (03%)
• y people who watch a video for an average 20 of 30 minutes (66%)

I recognise that having built a career serving clients with success defined in terms of growth, performance, revenue and results that I am biased towards measures that I understand. Quantitative is my go-to reference. I’m not against qualitative or subjective measures, I’ve employed both but even there I revert to quantitative measures as a baseline to compare "apples with apples’