ENT 402 · Unit 4 of 6
Product-Market Fit Signals and Measurement
Product-Market Fit and Startup Experimentation
Start unit · 4 lessons →Learning objectives
- Run disciplined pivot vs persevere decisions
- Apply "Product-Market Fit Signals and Measurement" to a real venture decision
- Contribute to your Pre-scale experimentation plan deliverable
Unit overview
| # | Lesson | Core idea |
|---|---|---|
| 1 | Core Principles of Product-Market Fit Signals and Measurement | Core frameworks for this unit |
| 2 | Designing an Approach to Product-Market Fit Signals and Measurement | Core frameworks for this unit |
| 3 | Common Risks and Failure Modes in Product-Market Fit Signals and Measurement | Core frameworks for this unit |
| 4 | Product-Market Fit Signals and Measurement: Practical Decision Exercise | Core frameworks for this unit |
Complete all four lessons, then finish unit assessments on this page.
Unit assessment
Complete each section below. Score 80%+ on the quiz to finish this unit's assessment.
Exercises
Apply what you learned in this unit with structured practice.
Deliverable
300–500 word analysis document saved to your portfolio under ENT 402.
Rubric
- • Framework applied correctly (not just named)
- • Specific evidence from a real example
- • Clear recommendation with tradeoffs acknowledged
- • Professional writing with source citation
Deliverable
Problem solutions + 150-word reflection in your ENT 402 workbook.
Rubric
- • Attempted all practice items before checking answers
- • Honest reflection on errors
- • Identifies a specific review action
Case analysis
Analyze a case using frameworks from this unit.
Deliverable
2-page case write-up in your portfolio.
Rubric
- • Case facts are accurate and sourced
- • Analysis uses unit frameworks explicitly
- • Recommendation is justified with tradeoffs
- • Risks are specific, not generic
Knowledge quiz
Check your understanding before marking the unit complete.
1. RelayOps surveys 25 active dispatch managers: 11 say they would be 'very disappointed' if RelayOps disappeared. What is the very disappointed percentage?
2. RelayOps has 44% very disappointed, rising emergency job volume on-platform, and 68% month-two logo retention across three pilots. An engineer argues PMF is proven. Best skeptical response?
3. Which RelayOps signal is strongest evidence AGAINST declaring product-market fit?
4. RelayOps measures NPS of 62 from friendly pilot sponsors while unpaid dispatcher seats inactive exceed 35%. What failure mode is this?
5. RelayOps prices at $120 per technician per month with 85 technicians across retained pilots. What is approximate monthly recurring revenue?
6. Maya wants to call PMF when pipeline adds five new LOIs. Jordan wants month-three retention above 75% on two consecutive cohorts. Whose bar aligns with decision-grade PMF measurement?
7. RelayOps compares beachhead PMF signals: Phoenix cohort 72% month-two retention, Dallas 58%, outbound-only demos 40% very disappointed. What measurement action fits?
8. RelayOps gross margin on pilots is 78% with heavy founder-led onboarding. Investors ask if PMF is scalable. Which risk does this highlight?