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Nice example, but a major pain point I see is dev time. There is going to be significant amount of time being spent making the analytics platform, and then scal
by intev 15y ago
Nice example, but a major pain point I see is dev time. There is going to be significant amount of time being spent making the analytics platform, and then scaling it. It might be better spent on the product itself until it takes off.
- d2ncal 15y agoWe had a simple dashboard for tracking key metrics, but soon needed reports like retention breakdown by user. It literally took is 1.5 days to get this whole thing up and running, and saved countless amount of time in the future trying to analyze the usage.
- dime 15y agoAgreed. It would seem to me that time would be better spent on core services. Why be knee deep in something that is already becoming a commodity?
- alttab 15y agoI disagree. We have a similar event table in our product, and there was a huge pain in getting stats and reports for our clients and vendors. I've created a similar application - one with integrated cohort analysis, a full working definition dictionary for all events, and a reporting dashboard that allows account managers access to data for their clients on a daily basis. The idea is that dev + product + account mgmnt work on the same platform. I built it myself in my spare time over the course of about 4-5 weekends. When data is fully integrated and accessible it makes it worth the investment.
- llch 15y agocohort analysis is the best investment for us so far. without cohort, we never know if our iterations are contributing our goals -- usually it means keeping track of retention for identifying product/market fit.