← PMI-ACP: agility applied to IT delivery
11 / 16 · 60 MIN

Tailor work and learn as a team

Adjust practices to demand, constraints and learning while retaining coordination and accountability.

Choose practices from the problem

Before changing the method, describe the problem that needs improvement. A team may build quickly yet spend most lead time waiting for acceptance. Another may receive emergencies that make reserving all capacity for planned work unrealistic.

Observe demand, the path to a useful outcome, queues, available skills and decision authority. Then choose a change addressing a concrete condition. Copying the calendar of a team with different demand may retain the problem and add meetings.

Record the expected effect and limits that must remain satisfied. A practice is a choice to assess in context, including adverse consequences and adoption effort.

Combine coordination and learning

Different parts of an initiative can contain different uncertainties. A migration may depend on a known technical sequence and fixed date, while its associated feature still needs user discovery. Coordinate known milestones and create opportunities to try the uncertain solution, agreeing where the two parts integrate.

A contractual demonstration at quarter end does not prevent interim trials if the agreement permits them. Those trials inform work; they do not unilaterally replace a formal obligation. The same principle applies to security approval: early consultation can reduce rework while retaining the required decision before release.

State what is an actual constraint and what is merely an organizational habit.

Cadence, integration and release

Distinguish occasions serving different purposes. Integrating small changes allows early discovery of incompatibilities; external release may depend on an authorized window. A monthly release constraint does not require integration to accumulate until the final day.

Nor does passing technical checks authorize release outside the window. In physical work, a short learning cadence does not eliminate six weeks of manufacturing. Models and examples can address some uncertainties while a feasible physical milestone is prepared.

Retain evidence limits: a trial interface can help clarify contracts, but acceptance of the actual component depends on evaluating it when available.

Shared capacity and commitments

Plan the capacity that exists, including demand arriving through other paths. Three plans each requesting 60% of the same person in the same week consume 180% of availability, even if each plan appears feasible alone. A joint decision must change priority, sequencing, scope or confirmed capacity.

An urgent path also needs rules: if any sponsor can classify an ordinary improvement as critical restoration, the exception may consume all capacity. Expose the displaced commitment and review policy suitability. Reserves are not universal constants.

If a new service increases emergencies, revisit the reserve; if responsibility moves away, assess residual demand before reducing it. The largest observed value is not a guarantee of maximum future demand.

Collaborate with context and authority

A team can organize work when it knows the objective, decision boundaries and dependencies it must coordinate. Autonomy does not remove the need to confirm another team’s capacity or external approval. In distributed teams, provide context before decisions: alternatives, constraints and open questions.

Status updates can be asynchronous, preserving the small shared window for disagreements requiring conversation. Confirm understanding of agreements, particularly when participants are not equally comfortable in the working language. No questions does not demonstrate agreement.

At team handoffs, agree state meanings and readiness evidence even when each team retains different internal stages.

Transparency that enables action

A board is useful when it represents work and decision conditions, including blockers, dependencies and unmet criteria. Renaming states without changing policies may improve appearance without improving delivery. If an item awaits acceptance, removing it from lead-time measurement hides a real customer wait.

Explain when a metric definition changes and retain the distinction between observations made under different criteria. Transparency must reach someone able to act: an accurate report nobody reads in time does not close the loop. Update decision owners and completion criteria after reorganizations.

Do not confuse tool availability, meeting attendance or completed documents with demonstrated acceptance.

Learn from questions, errors and distributed knowledge

Learning depends on people being able to raise questions, risks and mistakes without humiliation for doing so. A facilitator can invite alternative interpretations, acknowledge discovery of a problem and separate investigation from blame-seeking.

This does not remove accountability for decisions or the need to contain failure effects. During disagreement, seek examples and criteria that allow hypotheses to be tested instead of rewarding the highest-status person. Distribute knowledge through supported practice and confirmation that someone else can perform or explain the task.

Providing a guide helps but does not establish competence. Reserve learning time; also counting that time as full delivery capacity creates an unrealistic commitment.

Review practice after change

A retrospective needs to connect observation with action and checking. Choose a bounded change, identify who follows it up and define when to assess its effect. If fewer team handoffs leave decisions without an owner, address that gap without assuming the speed benefit compensates for everything.

If policy, tool and demand changed together, retain the observed result and attribution limit. Continue reassessing the chosen practice when risks, people, volume or responsibility change. Earlier investment does not justify retaining a policy with no current usefulness.

Also record a decision to retain a practice when evidence supports it. Adaptation does not require constant novelty; it requires a reasoned response to context and outcomes.

IN PRACTICE

Fictional case: ten specialist hours are available this week. Three teams request six hours each: 18 hours total, eight beyond capacity. Splitting the week equally gives each team 10/3 hours without meeting the three six-hour requests.

Commitments must change, for example by prioritizing one complete request and using the remaining four hours for divisible work. That option is valid only if divisibility and priority are agreed; not every task can be assumed divisible.

Common pitfalls

Copying rituals without context; using the same capacity in different plans; confusing integration with release authorization; measuring adoption only through names and meetings.

Related topics: Work policies and capacity · Coordination and authority · Transparency and learning

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A useful practice enables decisions and learning within actual constraints. Revisit policies, capacity and outcomes when context changes.

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References

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