Product-market fit is not a feeling but a measurable state. The five metrics we track in the Filiz programme and their thresholds.
Founders often say 'we reached product-market fit' after one good week. Yet fit is a behaviour that repeats over several months across different customer groups. We share the five metrics founders track weekly in the Filiz programme and their rough thresholds. Thresholds vary by sector and are indicative.
1. The Sean Ellis test: user reaction
Ask active users, 'How would you feel if you could no longer use this product?' If more than 40% say 'very disappointed', there is a strong sign. Measure with at least 40 responses.
2. Weekly retention
The share of users who keep using the product after the first week is the most honest number about its value. In consumer apps, 20% or more in week four is healthy; in business software, 70% or more at month three.
3. Net revenue retention (NRR)
If your business model is subscription-based, look at whether revenue from existing customers grows over 12 months. An NRR below 100% means you are filling a leaking bucket even when you win new customers.
4. Sales cycle and win rate
In enterprise sales, measure the time from first meeting to contract and how many meetings turn into sales. If the cycle is shortening and the win rate is rising, the market is pulling you.
5. Organic growth share
How many new customers come through referral, search or direct visits? An organic share above 30% is a sign the product explains itself.
How should you use the metrics?
Do not try to perfect all five at once; choose two that fit your business model and track them every week in the same table. In our bootcamp we share a ready template for this table.
You can request a mentor session to improve the metrics or apply to the Filiz programme. The thresholds in this article are general observations and carry no guarantee.
Example case: an agri startup's three-month path
An agriculture startup from our programme tracked only two metrics in its first three months: the share of customers renewing after the first season and the number of support requests per customer. When the renewal rate came out at 48%, it changed pricing to an annual subscription per decare and cut installation time from three days to one. In the second season the renewal rate rose to 71%. Focusing on a single metric had increased decision speed.
You can try the same method this week: choose one metric, write down its value for the previous four weeks and design a single experiment that will change this number over the next two weeks.