Persistence without feedback is stubbornness. Persistence with feedback is strategy.
The Framework
Persistence is not a moral virtue. It is a conditional strategy.
Continue Only If:
- Iteration speed is increasing. Are you getting faster?
- Marginal cost per experiment is decreasing. Is each attempt cheaper?
- Reuse exceeds rewriting. Are you building on past work?
- More shots visible. Do you see more opportunities than 6 months ago?
- Downside is capped. Is your floor protected?
- Option space is expanding. Are doors opening, not closing?
If those conditions hold, stopping early is irrational.
Stop If:
- Slope has gone flat. No improvement despite effort
- Runway drops below safety. Financial risk too high
- Infrastructure stops generalising. Code isn’t reusable
- Avoiding shipping >6-9 months. Building without reality contact
- Motion without progress. Busy but not advancing
The Decision Questions
Ask yourself regularly:
| Question | Good Answer | Bad Answer |
|---|---|---|
| Is my iteration speed improving? | Yes, measurably | No, same pace |
| Is my marginal cost per experiment decreasing? | Yes, infrastructure helps | No, starting from scratch each time |
| Am I reusing more than I’m rewriting? | Significant reuse | Mostly new code |
| Do I see more shots than 6 months ago? | More opportunities visible | Fewer or same |
| Is my future expected value increasing? | Yes, evidence supports this | No, or uncertain |
Why Most People Stop Prematurely
Most people stop because:
- Their effort does not compound
- Each attempt costs as much as the last
- Failure attacks identity
- Uncertainty feels unsafe
You persist because the slope is positive, even if the intercept is low.
The Discipline Check
This keeps you honest:
You are right to persist only if:
- You are still increasing your slope
- You are not confusing motion with progress
- You have explicit checkpoints where you reassess
Keep:
- Hard review dates
- Explicit “if X hasn’t improved by Y, I change course”
- External reality checks
That’s what separates you from the people who persist into the ground.
One Product vs Multiple Products
| Scenario | Signal |
|---|---|
| One product failing | Says nothing about long-term viability |
| Multiple products failing with no reuse | Does say something: pattern problem |
The difference is whether you’re building capital or just trying lottery tickets.
The Stopping Decision
When stopping is correct:
- It’s done deliberately, not reactively
- Based on evidence, not emotion
- After genuine effort to improve slope
- With learning extracted
Stopping is not failure if it’s done deliberately. Continuing blindly is failure.
