methodatlas

Decision Making Decision method

Three-Point Estimation

Relates optimistic, likely, and pessimistic values to derive a range, expected value, and risk picture.

Three different views of the same work are combined instead of asserting a mean without context. Uncertainty becomes a planning range and expectation. The approach is useful when buffers and risk need a clear rationale.

Core question
What range and triangular expected value follow from a plausible optimistic, most likely, and pessimistic scenario?
Participants
1-8
Time
30–60 minutes per work-package group; evidence collection extra.

The steps form one complete method run.

Paper illustration for Three-Point Estimation.
  1. Scope

    Estimate frame

    Define work, unit, Done, and included risks unambiguously.

  2. Scenarios

    Three values

    Derive O, M, and P from concrete conditions and analogies; verify O ≤ M ≤ P.

  3. Calculate

    Expected value

    Compute triangular expected value E=(O+M+P)/3 and preserve the range separately.

  4. Drivers

    Uncertainty view

    Inspect M→P and O→M gaps for dominant uncertainty and controllable actions.

  5. Use

    Planning range

    Use the estimate for a named decision and schedule review after scope or evidence changes.

Add new evidence at review and version estimates with the prior state.

A good fit when

Bei Aufwand, Zeit oder Risiko wirkt ein einzelner Schätzwert oft zu glatt für die reale Unsicherheit. Three-Point Estimation zieht Optimismus, Wahrscheinlichkeitswert und Pessimismus zusammen und macht Spannbreiten belastbar.

Ideal for

  • Uncertain tasks
  • Project planning
  • Risk assessment

Not good for

  • Very small standard tasks
  • Large unsliced epics
  • Teams without context

Outputs

  • Planning range

    Three-point estimate with O/M/P scenarios, triangular expected value (O+M+P)/3, range, drivers, and review trigger.

Three-Point Estimation · working structure

Fictional example

Fictional values show the actual method fields.

Three-Point Estimation · working structure
Work packageO · optimisticM · most likelyP · pessimisticCalculationRangeDriverReview
Provider tokenAdd evidence and rationale.4 days · API fits7 days · normal adaptation16 days · migration + certification rework(4+7+16)/3 = 9 days4–16 daysMigration/certificationAfter trial import
  1. 1. O · optimistic

    Provider token
    4 days · API fits
  2. 2. M · most likely

    Provider token
    7 days · normal adaptation
  3. 3. P · pessimistic

    Provider token
    16 days · migration + certification rework
  4. 4. Calculation

    Provider token
    (4+7+16)/3 = 9 days
  5. 5. Range

    Provider token
    4–16 days
  6. 6. Driver

    Provider token
    Migration/certification
  7. 7. Review

    Provider token
    After trial import

All values are fictional.

Reference · original teaching example

First step

Close work package, unit, Done criterion, and dependencies; define O, M, and P as scenarios rather than target values.

Open the method guide

Deep dive

Purpose

A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.

How it works

Three different views of the same work are combined instead of blindly asserting an average. This does not hide uncertainty but translates it into a plannable range and expectation. The method is especially useful when buffer and risk need to be justified cleanly.

In detail

Three-Point Estimation forces uncertainty into the open. The optimistic value describes a favorable but realistic path, while the pessimistic value describes an unfavorable but still plausible path. The most likely value is where experts see the highest probability. The three values can feed simple ranges, risk discussions, or weighted approaches such as PERT.

Facilitation

Clarify whether effort, duration, or cost is being estimated. Ask for realistic extremes rather than fantasy scenarios. Use the width of the range to discuss risk, dependencies, and missing information.

The method guide walks execution through 5 phases, timing, 5 pitfalls, and clear stop criteria.

Open method guide

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Sources and topics

Topics
Artifact templates
Three-Point Estimation: WorksheetSet subject, data, roles, flow, and review.
markdown

three-point-estimation-working-template.md

Set subject, data, roles, flow, and review.

Three-Point Estimation: Worksheet

Question

To be confirmed

Desired outcome

To be confirmed

Scope

Complete run Time: 30–60 minutes per work-package group; evidence collection extra.

Complete this worksheet on paper or in your own document during the work.

Preparation for this scope

Method setup

  • Materials: Clear scope, historical analogies, O/M/P scenario sheet, calculation sheet, and assumption log
  • Roles: Work owner · delivery experts · data/risk expert · facilitator
  • Advance information: Close work package, unit, Done criterion, and dependencies; define O, M, and P as scenarios rather than target values.
  • Overall time needed: 30–60 minutes per work-package group; evidence collection extra.
  • Setup: Prepare a workspace with Scope · Scenarios · Calculate · Drivers · Use; separate example from live data.

Prepare for the work steps

Scope: Estimate frame

  • Close work package, unit, Done criterion, and dependencies; define O, M, and P as scenarios rather than target values.
  • Clear scope, historical analogies, O/M/P scenario sheet, calculation sheet, and assumption log

Scenarios: Three values

  • Estimate frame

Calculate: Expected value

  • Three values

Drivers: Uncertainty view

  • Expected value

Use: Planning range

  • Uncertainty view

Three-Point Estimation · working structure

Work packageO · optimisticM · most likelyP · pessimisticCalculationRangeDriverReview
Provider token
  • Provider token: Add evidence and rationale.

The blank worksheet contains prompts only.

Reference · original teaching example

Scope: Estimate frame

Expected artifact: Estimate frame

Define work, unit, Done, and included risks unambiguously.

Entry:

...

  • Do all three values describe the same completed work?

Scenarios: Three values

Expected artifact: Three values

Derive O, M, and P from concrete conditions and analogies; verify O ≤ M ≤ P.

Entry:

...

  • Are extremes plausibly reachable rather than perfect/worst imaginable?

Calculate: Expected value

Expected artifact: Expected value

Compute triangular expected value E=(O+M+P)/3 and preserve the range separately.

Entry:

...

  • Is the formula visible and calculated in one unit?

Drivers: Uncertainty view

Expected artifact: Uncertainty view

Inspect M→P and O→M gaps for dominant uncertainty and controllable actions.

Entry:

...

  • Is the broad interval linked to a concrete driver?

Use: Planning range

Expected artifact: Planning range

Use the estimate for a named decision and schedule review after scope or evidence changes.

Entry:

...

  • Is it clear how value/range will be used and when to re-estimate?

Open questions and next steps

...

Method guide: https://methodatlas.meierhoff-systems.de/en/methods/three-point-estimation/run-sheet

Alternatives and neighbors

Fitting alternatives with decision guidance, followed by other related methods.

All methods
Constraints and origin
MediumWorkshop + async10-30 min je Item

Profile

Method form
Decision method
Participants
1-8
Time
10-30 min je Item
Maturity
Canonical
Origin
Praxisgemeinschaft
Paper illustration for PERT Estimation.
Next up: PERT Estimation