Part I · Foundations

02 The Assumption Audit: A Method That Outlasts the Tools

Part ILab: Audit a practice from your own workFeeds M0

Learning objectives

After this chapter you should be able to:

  1. Explain why a method can give confident, wrong answers when the conditions it was built for change.
  2. Identify the load-bearing assumption of a method using the negation test.
  3. Carry out the six steps of an assumption audit on a named mechanism or activity (the unit of analysis).
  4. Assign one of four verdicts with the ordered decision rule, and defend it against someone who disagrees.
  5. Grade evidence by design, relevance, measurement quality, uncertainty and replication.
  6. Turn a verdict into a prediction that your own project data could show to be wrong.

Opening case

A composite case, not a real engagement.

A product team of six engineers adopts coding agents in the spring. By summer, the engineering manager has a planning problem. The roadmap was estimated as always: story points per ticket, a velocity of about forty points per two-week sprint, a release date read off the burndown. The burndown rule was informal: a ticket's points counted when the ticket closed, and a ticket closed when its pull request opened. Six weeks into the quarter, the burndown looks wonderful. Tickets close at nearly twice the old rate. Then the integration environment fills with failures, two senior engineers spend a week doing nothing but reviewing agent pull requests, and the release slips by a month anyway.

The chapter continues from here.

What the chapter covers

  1. 2.1 Why a method instead of a list of answers
  2. 2.2 Where the idea comes from
  3. 2.3 Load-bearing assumptions
  4. 2.4 The six steps
  5. 2.5 The four verdicts
  6. 2.6 Grading the evidence
  7. 2.7 A worked example: earned value
  8. 2.8 A contrasting example: when the method holds
  9. 2.9 The audit at a glance
  10. 2.10 Auditing the audit

Lab and prediction

Lab: Audit a practice from your own work

Feeds milestone M0. How the labs fit the project

A result that contradicts a prediction, honestly reported, is a result. You are graded on accurate records and reasoned interpretation, not on agreeing with the book.

Summary

  • Methods whose assumptions fail keep producing confident, wrong answers. The negation test finds the load-bearing assumption.
  • Every audit names its unit of analysis; verdicts are comparable only for like units, and one practice can earn different verdicts at different units.
  • The decision rule is ordered: Q1 reversed scarcity (activities), Q2 the assumption still holds, Q3 a fix by values or definitions alone, Q4 otherwise breaks. A new input artifact to an unchanged procedure is Q3.
  • Audit the method at its strongest, then ask what teams do instead and what agents change. Earned value requires objective completion criteria; crediting at ticket close is a shortcut agents make much costlier.
  • Grade evidence by design and by relevance, measurement quality, uncertainty and replication. Write the chain observation, inference, mechanism, test.
  • Verdicts are dated judgments. The tally summarizes them and is not itself a result.

Key terms

Assumption audit
a six-step check of whether a method still works after its design conditions have changed.Also used in 1, 18
Load-bearing assumption
an assumption about a method's setting whose failure would make the method's output unreliable (term from Dewar 2002).Also used in 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14
Negation test
negating a candidate assumption to see whether the method's output becomes unreliable.Also used in 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
Unit of analysis
the specific mechanism or activity an audit examines.Also used in 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
Decision rule
the ordered questions Q1 to Q4 that assign a verdict (Section 2.5).Also used in 3, 4, 6, 7, 11, 12, 13, 14, 17
Holds, recalibrate, breaks, inverts
the assumption survives; new values or definitions restore the method; the method needs new variables, records or steps; an activity's scarce and abundant resources have traded places.Also used in 1, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
Signpost
an observable event that would warn that a vulnerable assumption is failing (Dewar 2002).Also used in 1, 4, 18
Evidence chain
observation, inference, proposed mechanism, test.
Statement of practice
a description of what practitioners do and why; without documented cases or measurements, not validation.Also used in 4, 6, 8, 12, 18

Connections

Where this chapter and another point to each other most often.

See it on the map

Further reading

  • Dewar (2002), Assumption-Based Planning. The source of the load-bearing assumption idea. Read chapter 1 and the cases for how signposts are chosen.
  • Mason and Mitroff (1981), Challenging Strategic Planning Assumptions. The other parent of the method; strongest on how groups argue about unstated assumptions.
  • Becker et al. (2025). The randomized trial of Section 2.6: a model of measuring productivity, and of how perception and measurement diverge.
  • Geng et al. (2026). The syllabus study. Ask what a syllabus study can and can't tell you.
  • Smith (2026a). The working paper this book grows from, with the ten predictions.