AdvancedPlanningFree prompt

Effort Estimation Using Three-Point Technique

Applies PERT estimation to calculate activity duration and effort.

Calculate realistic effort estimates using the PERT three-point technique to reduce uncertainty and create more reliable schedules.

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Prompt objective

Calculate realistic effort estimates using the PERT three-point technique to reduce uncertainty and create more reliable schedules.

Real use case

The product team at AppVerde needs to estimate effort for 25 user stories for the next quarter. Historically, story point estimates diverge 40% from actual effort. The Scrum Master wants to adopt PERT estimation for the executive roadmap.

Customize these fields first

PROJECT NAMELIST ACTIVITIES OR PASTE USER STORY LISTHOURS / DAYS / STORY POINTS85% / 90% / 95%

Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.

Prompt

Create an effort estimation spreadsheet using the three-point technique (PERT) for:

Project: [PROJECT NAME]
Activities to estimate: [LIST ACTIVITIES OR PASTE USER STORY LIST]
Measurement unit: [HOURS / DAYS / STORY POINTS]
Desired confidence level: [85% / 90% / 95%]

For each activity, provide:
1) Optimistic estimate (O) — scenario with no blockers
2) Most likely estimate (M) — realistic scenario
3) Pessimistic estimate (P) — scenario with problems
4) PERT average: (O + 4M + P) / 6
5) Standard deviation: (P - O) / 6
6) Variance: σ²
7) Confidence interval for the requested level

Add at the end:
- Critical path total with confidence interval
- Simplified Monte Carlo analysis (likely completion distribution)
- Buffer recommendation based on cumulative variance
- 5 tips to improve estimation quality based on historical data
- CSV template for import into Excel/Sheets

Format: detailed table + statistical analysis + recommendations.

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How to use this prompt

  1. 1Replace the key placeholders first: PROJECT NAME, LIST ACTIVITIES OR PASTE USER STORY LIST, HOURS / DAYS / STORY POINTS, 85% / 90% / 95%.
  2. 2Replace any bracketed placeholders like [this] with your own context.
  3. 3Add extra background information when you want more tailored results.
  4. 4Combine multiple prompts in one conversation when you need a richer output.
  5. 5Save your best-performing prompts so they are easy to reuse later.

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