User Satisfaction Signals

Users rarely tell you directly whether they're satisfied. Most satisfaction signals are implicit — buried in behavior patterns that you have to design systems to capture and interpret.

Explicit Satisfaction Signals

These are signals users give intentionally:

• Thumbs up/down: Direct quality rating
• Star ratings: Graded satisfaction
• Written feedback: Comments about what worked or didn't
• NPS or satisfaction surveys: Periodic overall assessment
• Feature requests: Signals of engagement even when expressing a gap

Implicit Satisfaction Signals

These are behavioral signals that indicate satisfaction or dissatisfaction: Positive signals:

• Using the output as-is (no edits)
• Copying the output
• Returning to use the feature again
• Increasing usage over time
• Trying more advanced features Negative signals:
• Regenerating the response (asking the AI to try again)
• Editing the output heavily