Interesting, but seems pretty complex. I prefer the model employed by Superhuman: https://firstround.com/review/how-superhuman-built-an-engine...
Yeah I know, they're the joke of last week, but that methodology is pretty simple (just ask four questions) and (importantly) is trackable over time, while working for businesses of all kinds.
Is anybody else using that at the moment? How has it worked out?
Interesting, but this seems more suited for subscription-type software businesses, not anything related to products with longer periods between repeat purchases. You'd have to wait for a couple of years or more to build out churn/resurrection/expansion, etc. and cohort data for a hardware or durable goods business. No wonder VCs don't really like to fund hardware/infrastructure businesses
metrics are helpful, but creation is art
This seems more like a companion article to David Skok’s SaaS Metrics 2.0:
https://www.forentrepreneurs.com/saas-metrics-2/
I found it to be more about SaaS metrics and less about product/market fit.
For example, you could have great product/market fit with poor pricing, in which case you might have awful SaaS metrics and sluggish revenue growth while having great usage metrics and rapid organic/viral user growth.
For example, imagine if PagerDuty or Slack were free for enterprises: they’d have terrible SaaS metrics but wonderful product/market fit, IMO.