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Continuous Improvement and Learning (AMC)

This is the multiplier theme: without it, an organization repeats its mistakes; with it, each project improves the next ones. It is also the one most often simulated: retrospectives where…

Guide≈ 5 min readCheckedCheck doneFacts, figures and references were checked against the sources cited in the page.Written with AI assistance; sources are cited at the bottom of the page. An error? Report it via clement13.net.Reading

Level: 🟢→🔴 · Code: AMC · Matrix: PI

Why this theme#

This is the multiplier theme: without it, an organization repeats its mistakes; with it, each project improves the next ones. It is also the one most often simulated: retrospectives where people talk without acting, post-mortems that point to someone to blame, “lessons learned” archived and never revisited. Maturity is visible in one thing: concrete, tracked changes whose impact is verified.

What this theme measures#

  • Axis: from forgetting to organizational learning that simplifies as much as it adds.
  • Key indicator: share of improvement actions closed on time and with confirmed impact; recurrence rate of incidents with the same cause.
  • Unit: % of actions closed; % of recurring incidents; number of rules removed or simplified per year.

The five levels#

Level Short name Promise Typical indicator (orders of magnitude)
1 No feedback The same problems keep coming back; no one has time to stop. Recurrence > 50%
2 Retrospectives People occasionally meet to discuss what was difficult; a few ideas come out of it. One meeting per quarter; actions closed < 30%
3 Tracked actions Retrospectives and incidents produce actions with an owner and due date, reviewed in the next session; no blame-seeking. Actions closed 60 to 80%; recurrence 20 to 40%
4 Measured impact The impact of improvements is verified with indicators; root causes are addressed; lessons are shared across teams. Actions closed > 80%; impact confirmed on ≥ 60%; recurrence < 20%
5 Learning organization The organization experiments, removes what is no longer useful, shares what it learns, and its rules evolve on their own. Recurrence < 10%; rules removed each year

Milestones by level#

ID Milestone Verifiable evidence
PI-AMC-1.1 Major incidents are shared with the team. Record of a post-incident feedback session.
PI-AMC-1.2 A completed project is followed by a closeout (even brief). Closeout document.
PI-AMC-1.3 Lessons are documented somewhere. Lessons page or file.
PI-AMC-2.1 A retrospective is held on a fixed cadence (per iteration or per quarter). Calendar and meeting notes.
PI-AMC-2.2 Incident post-mortems use a common format. Template used on ≥ 3 incidents.
PI-AMC-2.3 Actions are logged with an owner. “Owner” column filled in.
PI-AMC-3.1 Each action has a due date and is reviewed in the next session. Action list with recorded review.
PI-AMC-3.2 Post-mortems are blameless and focused on conditions. Review of 3 post-mortems: no person named as the cause.
PI-AMC-3.3 Action closure rate is tracked (≥ 60%). Closure indicator.
PI-AMC-3.4 Time is reserved for improvement (for example 10% of capacity). Reserved capacity visible in the plan.
PI-AMC-3.5 Lessons are accessible to the team (knowledge base, single page). Up-to-date page, consulted.
PI-AMC-4.1 Each significant improvement defines an expected-impact indicator before launch. Action sheet with target indicator.
PI-AMC-4.2 Impact is verified after a defined period and documented (effective, partial, none). Impact review on ≥ 5 actions.
PI-AMC-4.3 Root cause analyses (5 whys, cause tree) are conducted on major incidents. Analysis sheets.
PI-AMC-4.4 Lessons are shared across teams (cross-review, community of practice). Cross-team sessions; adoption of a neighboring practice.
PI-AMC-4.5 Recurrence of incidents with the same cause is measured. 12-month recurrence rate.
PI-AMC-5.1 Structured experiments (hypothesis, duration, criterion) are run regularly. Experiment log.
PI-AMC-5.2 Obsolete rules, steps, or reports are removed each year. List of justified removals.
PI-AMC-5.3 Improvement indicators are reviewed to prevent gaming. Annual indicator review with replacements.
PI-AMC-5.4 The year's projects feed a shared retrospective across the whole organization. Annual presentation and distributed materials.

Detailed reading by level#

Level 1. Signs: fix it, move on. Gain: maximum production time in the short term. Does not guarantee sustainability. Difficulty: 1/5. Effort: 1/5.

Level 2. Signs: retrospectives are pressure-release valves; people say “we should have.” Gain: awareness. Does not guarantee change. Difficulty: 2/5. Effort: 1/5.

Level 3. Signs: each session starts with actions from the previous one; the team dares to talk about mistakes. Gain: fewer recurring problems. Does not guarantee actions are effective. Difficulty: 3/5. Effort: 2/5.

Level 4. Signs: an action without an impact indicator is suspicious; you know what worked. Gain: the organization invests in what works. Does not guarantee innovation. Difficulty: 4/5. Effort: 3/5.

Level 5. Signs: experiments, removals, sharing. Gain: fast adaptation to changing context. Does not guarantee absence of cultural drift. Difficulty: 5/5. Effort: 4/5.

Partial achievement and rating#

Common rule: see README.

  • 0.5: regular retrospective but actions not tracked; post-mortems done without a template.
  • 1: three consecutive tracking cycles are available for review.
  • A partial 5: verified impact of improvements, cross-team sharing, one rule removed per year; no experiment log. Score ≈ 4.6.
🧪 Example

Incident: a release package was delivered without the migration script for a parameter. Blameless post-mortem: the release checklist did not include this item; action: add it and verify by script. Impact indicator: zero deliveries with missing items over 6 months. Result reviewed in session: achieved. This type of loop closes the circle (see Delivery).

⚠️ Pitfall

Retrospective theater. Symptom: the same points come back session after session. Cause: no action is owned or arbitrated by governance. Remedy: limit to 1–3 actions, assign an owner, report back in the next session.

⚠️ Pitfall

Goodhart's law: using action closure rate as a target produces trivial actions that are easy to close. Complement with verified impact (PI-AMC-4.2).

💡 Expert tip

Also count removals: an organization that only adds rules gets heavier; one that removes as much as it adds stays agile. Direct link with adaptive governance (02).

Moving to the next level#

Possible means (optional)

🤖 AI

Can group retrospective points, identify recurrences in post-mortem history, suggest causal hypotheses; it does not replace psychological safety, without which facts are not spoken. See AI for Project Management (General, Then Data).

See also#

✻ Written by Claude Sonnet 5.5