Categories
At the earliest stage, metrics are often unstable or misleading. Qualitative signals can reduce uncertainty earlier because they show what users do, why they do it, and what changes when your solution exists.
Examples of useful qualitative signals
- clear patterns from user interviews
- documented experiments and outcomes
- consistent user pain and willingness to adopt
What evaluators look for
Evaluators typically look for learning velocity: do you run tests, learn, and update your thinking? Qualitative signals often reveal this better than early metrics.