Cover of The Agile Metrics Trap by Rémi Jonathan Choquette

Forthcoming book · Waitlist open

The Agile Metrics Trap

Why teams still optimise for velocity, burndown, and utilisation when executives say they want value, and what to measure instead.

Two decades after the Agile Manifesto, the gap between what leadership says they want (outcomes, value, predictability) and what teams actually report on (story points, burndowns, capacity) is wider than ever. This book is about closing it, without turning engineering organisations into reporting machines.

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Who it's for

CTOs, VPs of Engineering, product and delivery leaders, Agile coaches, and senior scrum masters: anyone tired of dashboards that look busy but don't change a single decision.

What's different

It connects Scrum's Evidence-Based Management, DORA, modern flow metrics, and market evidence into a single, practical measurement model, then shows what it actually looks like in a real engineering org.

Why me

A decade where this trap was most punishing: Desjardins (tier-1 bank), DRW (event-driven trading), and Morgan Stanley (ISG Architecture & Governance). SAFe Advanced Scrum Master · PSM I & II.

The research base

Scrum Guide, the EBM Guide, the Accelerate / DORA body of work, State of Agile survey data, and primary interviews with delivery leaders running real measurement programs. Nothing made up, nothing handwaved.

Working table of contents

What's inside

Working chapter list. Order and titles will shift as drafts go through readers (that's the point of the waitlist).

Part I · How we got here

  1. The metric was never the goal: a short history of velocity
  2. Why executives stopped believing burndown
  3. Utilisation as anti-metric: the hidden tax on flow
  4. The three audiences for every chart: the team, the executive, the auditor

Part II · A usable measurement stack

  1. Outcome metrics: EBM and the four KVAs in practice
  2. Flow metrics: cycle time, throughput, WIP, work age
  3. Quality metrics: change failure rate, defect escape, MTTR
  4. Delivery metrics: DORA in context, without the cargo cult

Part III · Implementation

  1. Dashboards executives actually read
  2. Telling teams what to measure, and what to stop
  3. Measurement under regulation: when auditors join the conversation
  4. AI in the loop: where it helps, where it lies

Part IV · The cultural rebuild

  1. Retrospectives that act on metrics, not perform them
  2. Reading the org through its dashboards
  3. Career paths for delivery leaders after the trap

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