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ENT 402 · Unit 6 of 6

Scaling Evidence into Repeatable Growth

Product-Market Fit and Startup Experimentation

Start unit · 4 lessons →

Learning objectives

  • Build a pre-scale experimentation playbook
  • Apply "Scaling Evidence into Repeatable Growth" to a real venture decision
  • Contribute to your Cohort analysis dashboard deliverable

Unit overview

#LessonCore idea
1Integrating the Elements of Scaling Evidence into Repeatable GrowthCore frameworks for this unit
2Advanced Questions in Scaling Evidence into Repeatable GrowthCore frameworks for this unit
3Implementation and Measurement in Scaling Evidence into Repeatable GrowthCore frameworks for this unit
4Scaling Evidence into Repeatable Growth: Final Applied ReviewCore 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.

50% applied project30% case work20% knowledge checks

Exercises

Apply what you learned in this unit with structured practice.

ExerciseApplied practice: Scaling Evidence into Repeatable Growth45 min
Complete a focused practice exercise on **Scaling Evidence into Repeatable Growth**. 1. Choose a real company, product, or situation you know. 2. Apply one core framework from this unit to analyze it. 3. Write your analysis in 300–500 words with a clear recommendation. 4. Cite at least one credible source.

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
ExerciseDrill: Scaling Evidence into Repeatable Growth30 min
Work through the practice problems in the unit lesson without looking at notes. Then check your work against the lesson and write a short reflection: - What you got right - One mistake you caught - One concept to review before the next unit

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.

CaseCase analysis: Scaling Evidence into Repeatable Growth60 min
Analyze a real business case through the lens of **Scaling Evidence into Repeatable Growth**. Choose a public company event, HBR-style case, or documented decision. **Deliverable structure:** 1. Situation summary (150 words) 2. Analysis using this unit's frameworks (400 words) 3. Recommendation (150 words) 4. Risks and what would change your mind

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 achieves repeatable pilot onboarding in 21 days with 76% month-three retention across four cohorts. CAC per logo is $18,000 and first-year contract value is $28,800. What is approximate CAC payback in months if gross margin is 80%?

2. Which evidence best supports scaling repeatable growth versus another learning cycle?

3. RelayOps plans to triple pilot starts next quarter while onboarding still requires Maya on every go-live call. What scaling failure mode is emerging?

4. RelayOps experimentation playbook lists ranked assumptions, cycle time targets, and segment-specific dashboards. Why carry this into pre-scale growth?

5. Paid acquisition tests raise leads 40% but month-one retention on paid cohorts is 41% versus 71% for founder-sourced pilots. Best scale read?

6. RelayOps estimates $400,000 to add two sales reps and paid campaigns, with $265,000 cash and 6 months runway. What integration question does scaling evidence require?

7. A pre-scale review integrates MVP log, cohort retention, PMF survey, and CAC payback. Dallas retention lags Phoenix by 18 points. What advanced scale question follows?

8. RelayOps final playbook sets: no channel spend above $50,000 per month until onboarding stays under 25 days without Maya on every go-live. Which principle does this encode?

Final unit complete.