On further rationalizing the ROI metrics in the OCEANDAO #13
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In R10, I've tried to improve the ROI calculation of my project using the above-enumerated principles.
I still find it quite challenging to understand how much impact my project truly has. Members in the RPI community have suggested that for a more precise model an affiliate tracking concept that's shared between e.g. RPI and Ocean Marketplace might be a good way forward. The problem is that it's quasi impossible to know on the rugpullindex.com domain what type of users are interacting. Are they all millionaires and do they always end up buying data sets? Or not? I'd also like to highlight that I'm not alone with this problem. Others are also seeking a way of e.g. "impression-mining"/rationally calculating their impact: https://realdatawhale.medium.com/outreach-strategy-impression-mining-for-general-ocean-market-content-a099b869dfd9 Anyways; just an update. |
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Hi Tim! Thanks for raising this issue. You have been heard. OceanDAO has moved away from "ROI > 1" and towards "value add" details here. Therefore - would you consider this issue able to close? |
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Great read. I also looked into the updated project criteria: https://github.com/oceanprotocol/oceandao/wiki/project-criteria In some ways, I'm happy that we stopped further rationalizing the ROI metric and instead softened it. It's true what is said in the blog post: It may be super hard to objectify certain actions as "ROI > 1" (or a dollar value), e.g. maintaining the docs. I'm already curious to see how the new criteria will change projects' developments. |
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