How would you build a metrics framework for a newly launched product with no historical data?
Model answer
Model answerNo historical data means no benchmarks — which is actually freeing. I'd start by defining the riskiest assumptions underlying the product and design metrics to test each assumption, not to report performance. In the first 90 days, I care about directional signals, not statistically significant conclusions. I'd instrument everything, focus on 3 metrics, and set a 90-day review to decide which metrics become permanent.
Framework · Metrics from Scratch
- AAssumption mapping
List the riskiest assumptions. Each assumption needs a metric to test it - IInstrument broadly
Track more than you think you need — you can always ignore data later - FFocus on 3
Pick 3 metrics to actually watch. Everything else is context - RReview at 90 days
Decide which metrics graduate to permanent dashboard vs get retired
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