Recently someone asked for my advice about how to measure success in companies and how to know if a product is working.
Specifically, they asked what we did at Credit Karma:
- there were a few things working in tandem:
- tracking beacons on all CTAs that gave end-to-end tracing
- multi-variant testing database (very similar to what the heavybit startup LaunchDarkly built around the same time)
- big org of product managers and analysts who were judged on revenue generation
- the benefit of lots of users AND very clear signals when a users engaged (plus extremely high payouts for successful conversions)
- a new feature would get deployed at a low % of traffic and then held until an analyst signed off that it improved over the baseline. I forget what the target p-value was, but remember it being complicated to measure because of newness effects
- in most early stage startups, sales feedback is where the richest data will come from
- who are they losing to and why?
- what types of customers?
- measuring churn: who’s dropping out, how quickly, and why?
- basically, goal should be never let a customer churn out if it’s something that can be addressed within the product (eg. stability, needs feature X that competitor has)
- who are they losing to and why?