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Aipom productive motion map

Skill deanpeters/ai-product-operating-model-skills/skills/aipom-productive-motion-map

Evidence-based skills for designing and improving AI product operating models

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npx -y skills add deanpeters/ai-product-operating-model-skills --skill aipom-productive-motion-map

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Map a recurring product-team motion through decisions, actors, inputs, handoffs, delays, rework, and failure before assigning AI and human responsibilities.

SKILL.md

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AIPOM Productive Motion Map

What Is It

Map how one recurring product-team outcome is actually produced: decisions, actors, inputs, tools, handoffs, waiting, rework, exceptions, and failures. The map establishes evidence before AI responsibilities are designed.

Why Use It

Automating a diagrammed ideal state often makes hidden work faster and less visible. Observing the real motion reveals where judgment, context, coordination, and recovery create or destroy value.

When to Use It

Use after choosing a workflow opportunity and before a human-AI work contract, playbook, or automation design. Map a bounded recurring motion, not an entire department.

What It Produces

  • Trigger-to-outcome current-state map
  • Decision, actor, input, handoff, wait, and rework record
  • Failure and exception paths
  • Baseline measures and priority redesign target

Who Should Participate

Include people who perform and receive the work, the accountable workflow owner, Team Lead, Product Manager, Product Operations where present, and technical or operational partners. Leadership descriptions cannot replace practitioner observation.

Evidence to Bring

Bring recent cases, timestamps, artifacts, decision logs, rework examples, exceptions, incidents, and participant observations. Note where the formal process differs from actual work.

How to Do It

  1. Define the trigger, desired outcome, boundary, owner, and unit of work.
  2. Reconstruct several real cases rather than the intended process.
  3. Map steps, decisions, actors, inputs, outputs, systems, and handoffs.
  4. Mark waiting, batching, searching, translation, review, rework, and abandonment.
  5. Identify context that is missing, recreated, stale, or contradictory.
  6. Trace exception, escalation, and failure recovery paths.
  7. Measure cycle time, touch time, review burden, rework, and outcome quality where possible.
  8. Identify the constraint or decision that most shapes the outcome.
  9. Choose a bounded redesign target and evidence needed before changing it.

Key Concepts

  • A productive motion is a recurring path to an outcome, not a job title.
  • Waiting and review are work even when absent from the process diagram.
  • Exceptions reveal the true operating model.
  • Baselines prevent faster output from masquerading as better work.

Organizational Applications

Use for discovery synthesis, roadmap decisions, support escalation, launch readiness, experiment review, research intake, and portfolio preparation.

Common Pitfalls

  • Mapping the official process instead of observed work
  • Starting with AI insertion points
  • Ignoring exception and recovery paths
  • Measuring only touch time
  • Treating every friction as automation-worthy
  • Redesigning the whole system before finding the constraint

Combine With

Use human-aipom-work-contract to assign responsibilities, aipom-workflow-playbook-builder to make the redesigned motion reusable, and aipom-decision-cycle-redesign for deeper cross-team change.

Assets and Templates

Sources

This skill is an original AIPOM synthesis of workflow observation, service-design, and decision-flow practices.

Gives 0 of the 12 instructions most css styling skills give

Counted across 586 of the 596 authors here whose files we hold, read 2026-08-06

  • avoid excessive centered layoutsin 55 of 586, across 12 files
  • bundle code into single HTML filein 54 of 586, across 14 files
  • Respect prefers-reduced-motion user settingsin 52 of 586, across 35 files
  • avoid purple gradientsin 51 of 586, across 11 files
  • avoid uniform rounded cornersin 51 of 586, across 11 files
  • avoid Inter fontin 51 of 586, across 11 files
  • edit generated files to develop artifactin 50 of 586, across 10 files
  • animate only transform and opacity propertiesin 43 of 586
  • Make touch targets at least 44x44 pixelsin 41 of 586, across 15 files
  • Ensure minimum color contrast of 4.5:1in 39 of 586, across 10 files
  • use tailwind cssin 39 of 586, across 24 files
  • Use SVG icons instead of emojisin 38 of 586, across 11 files

Said here and by no other author read

  • Map a bounded recurring motion
  • Define the trigger and desired outcome
  • Reconstruct real cases not intended process
  • Map steps decisions actors inputs and handoffs
  • Mark waiting batching review and rework
  • Identify missing recreated stale or contradictory context

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.

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