GOALS.3 - Make a goal set feasible across commitments and shared capacity

Type: Method pattern. Status: Stable.

GOALS.3:1 - Problem frame

Use this when several aims or participants depend on the same means, one goal can defeat another, or a proposed priority would alter existing reliance. The object is the joint arrangement of goals, contributions, commitments and resources. The result is a feasible undertaking or a precise unresolved conflict with usable independent work.

An independent local task with sufficient means can proceed without this comparison. OPS.19 already supplies reconciliation of simultaneous operating work; use that complete result where it answers the question, adding only the goal interpretation or organizational agreement still missing.

GOALS.3:2 - Problem

Teams can agree with a strategy and still make mutually incompatible plans. An invisible service obligation or shared specialist can consume the same hours several times. Cutting the visible goal list leaves those demands intact. The difficulty is to choose and enable the whole undertaking while preserving the actual meanings of promise, ambition and current work.

GOALS.3:3 - Forces

Focus requires declining or delaying some useful opportunities. Commitments constrain choice but can sometimes be changed through agreement. Shared objectives can support cooperation while hiding distinct ownership and evidence. Local initiative matters alongside direction from above. Detailed plans cost effort and become stale; ignored dependencies make seemingly light plans expensive in use.

GOALS.3:4 - Solution

GOALS.3:4.1 - Recover the competing work and reliance

Begin with current work, actual promises, protected service, recovery needs and serious proposed goals over the relevant horizon. Include continuing work that is absent from the OKR display. Ask what recipients would lose if a proposed priority absorbed its means. The purpose is to find decision-changing demands, not to create an exhaustive inventory of every activity.

For each material goal, use GOALS.1 to distinguish its desired result, forecast, ambition and commitment. Identify who can change the aim, allocate the means or alter an obligation. These authorities may differ. A strategy preference cannot silently cancel a customer’s agreement, and a resource estimate cannot appoint a person.

GOALS.3:4.2 - Recover the actual dependencies

Work backward from each goal’s result to the necessary contributions, then check with their providers how and when they can be supplied. Distinguish a prerequisite, concurrent contribution, shared resource, enabling service and a simply related theme. A top-level goal is translated through the contribution a team can actually make. Uniform numerical cascading often loses this difference.

For a cross-team result, decide what needs common ownership and what needs an interface agreement. A shared objective helps when the parties jointly own one result and its trade-offs. Linked local goals can be adequate when one supplies a clear result to another. In either case, identify the result, provider, recipient, timing, acceptance conditions and exception return where the connection is consequential. A copy of the same KR in two lists supplies none of those agreements.

Combine demands on scarce means at the times they must be available. Include interpretation, coordination, preparation, verification, learning, maintenance and recovery when material. Count one performance once when it really serves several goals; retain the different result claims. Cheap AI computation can change the limiting resource to data access, a professional decision or people’s response time. Recompute that constraint rather than assuming every former workload remains human work.

GOALS.3:4.3 - Compare complete alternatives

Compare the incumbent continuation with feasible changes in scope, sequence, method, provider, support or commitment. For each, trace what result it preserves, what it displaces and where it moves burden or risk. Keep essential conditions binding; compare remaining preferences through the actual decision owner’s judgement. A weighted score is appropriate only when the underlying trade-offs and evidence justify it.

A limited agenda follows from this comparison. Select a small enough active set for the needed contributions to fit, rather than adopting a universal goal count. An unchosen worthwhile aim can remain a future option with a reason to reconsider. If a short inquiry could change the priority, compare its attainable benefit and full cost through C.11.DUA. Use an adequate present answer when further inquiry would not change the choice.

GOALS.3:4.4 - Obtain the agreement that makes work possible

Use LDR.2 when the whole proposal needs negotiation. Obtain responses to the same version from participants who can supply the required contributions and decisions. Clarify what happens when a dependency fails, who can revise the arrangement and what remains safe or useful meanwhile. Use OPS.13 for effective operating commitments and their changes; resource provision must actually become available.

Preserve an honest forecast even when it is below the ambition. A committed result requires support appropriate to its terms; an aspirational goal can retain uncertainty with agreed allocation and response rules. If the common means cannot support all desired outcomes, choose a smaller or different undertaking or leave the exact conflict unresolved. Nominal alignment does not remove it.

Return the agreed set and its consequential dependencies in the existing working arrangement. The result can be bounded continuation or a precise missing input as well as reconfiguration. Recognition detects incompatible local plans. Assurance requires current capacity, effective authority and qualified evidence for the promised result; a feasible paper plan alone is not execution.

GOALS.3:5 - Archetypal Grounding

Three teams propose payments work needing 12 specialist hours, a service improvement needing 10 and a capability-development contribution needing 10 in one week. Only 24 usable hours remain after existing service. The sum is 32, so eight hours of required work lack provision. A meeting that declares all goals “top priority” leaves this unchanged.

The providers establish that payments have a current deadline, the improvement has a useful 8-hour first contribution whose remainder can follow, and the learning provider can supply a bounded 4-hour episode now and the remaining development later. The chosen week is 12 + 8 + 4 = 24, with revised claims: it promises the payments contribution and the bounded improvement, while the learning goal remains partly open. The later work requires its own available windows.

Change one condition: the payments cannot be completed without all 10 improvement hours first. The earlier 12 + 8 + 4 arrangement is now inadequate. The parties can allocate 12 + 10 + 2 only if two hours supply a useful learning contribution under its own terms, obtain another provider, or renegotiate work. If the learning obligation itself requires four hours this week and cannot change, the full set has no feasible arrangement under the stated capacity. An explicit conflict is more actionable than a false promise.

In a volunteer association, a member can decline an additional aim. Use the association’s actual agreement and another contribution; managerial authority over an employee cannot be imported into that relation.

GOALS.3:6 - Bias-Annotation

The comparison can favor visible billable work over maintenance, care, recovery and learning unless their receiving consequences are examined. Participants can also value outcomes differently. Keep relevant non-monetary conditions and legitimate disagreement visible; common capacity is not evidence of a common preference.

GOALS.3:7 - Conformance Checklist

Does the comparison include current commitments and service that can change the choice?
Are dependencies confirmed through actual contributions rather than matching labels?
Do shared capacity and timing fit together, including material enabling work?
Has each required decision or agreement come from its actual holder?
Are displaced, deferred and unresolved contributions still intelligible to their recipients?

GOALS.3:8 - Common Anti-Patterns and How to Avoid Them

Focus by hiding BAU: keep a short change agenda while preserving the full decision-changing workload and service conditions.

Alignment by cascading numbers: translate direction through the receiving contribution and verify the horizontal dependencies.

Borrowed capacity counted repeatedly: compare simultaneous demands and the dates at which each result is needed. Re-sequence only when those dates permit it.

GOALS.3:9 - Consequences

The chosen goals can direct work together, and participants can see what has been declined or left conditional. Negotiation may reduce the visible ambition or uncover a new way to obtain it. Maintaining an accurate shared account has a cost; retain only dependencies that can change reliance or action.

GOALS.3:10 - Architectural Rationale

The set, rather than the individual target, is the right comparison object when goals interact. Existing operations and leadership methods supply the hard feasibility and agreement work. This pattern adds the interpretation of a mixed goal set and its returns, allowing adequate local goals to survive while their combination changes.

GOALS.3:11 - SoTA-Echoing

Doerr’s alignment cases, cross-functional resource guide and accounts of late dependencies motivate concrete horizontal agreement. The alternative of purely top-down numerical cascading is retained only where it accurately represents contributions. OPS.19 and LDR.2 supply stronger present methods for shared work and complete proposals. New evidence about the actual dependency or capacity reopens the arrangement without requiring another organization-wide goal-setting exercise.

GOALS.3:12 - Relations

GOALS.1 gives each goal its meaning; GOALS.2 reveals the contributions and evidence needed for achievement. GOALS.4 revises the affected arrangement after change. GOALS.5 uses this result to run an OKR practice. HCD.2 supplies a feasible boundary on concurrent learning when learning demands are the actual conflict.