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Strategy & DiscoverySD-14
How to build a weighted scoring model
Agree strategic criteria before scoring; use the ranking to expose trade-offs rather than automatically selecting work.
Product statusAvailable now
Input4 required inputsCandidate initiatives · Current objectives and impact evidence · Rough effort estimates
SkillsBuild a weighted scoring model · Prepare task context · Review an artifact against agreed criteriaProduct Manager + Product Manager Agent
OutcomeWeighted scoring model: criteria, weights and scales, a reproducible score table, sensitivity notes and the proposed order.Artifact: Weighted scoring model
Owner
Product Manager
Human + Agent
Participants · Agents
Head of ProductEngineerProduct Manager Agent
Trigger
Candidate initiatives need comparing within one planning horizon.
Required context
JiraCandidate initiativesProduct BrainCurrent objectives and impact evidenceArchitectureRough effort estimatesProduct BrainInitiative focus and approved Product Brain guidance
Optional context
Customer evidenceCustomer and business evidence
Skills
Build a weighted scoring modelPrepare task contextReview an artifact against agreed criteria
Suggested conversation arc
- 1Agree criteria and weightsChoose 3–6 non-overlapping criteria tied to current strategy. Agree scoring anchors and weights totalling 100 before inspecting candidate rankings.Skills: Prepare task context
- 2Score candidates consistentlyApply the agreed scales to every candidate, link each estimate to evidence, and label unsupported ratings. Multiply ratings by weights and expose the calculation.Skills: Build a weighted scoring model
- 3Challenge the rankingCompare leading candidates and borderline cases. Discuss whether different defensible weights or uncertain estimates would change the decision; do not invent certainty.Skills: Review an artifact against agreed criteria
- 4Record investment choicesConfirm the chosen order, exclusions and any justified exceptions to the score; state which assumptions should trigger reconsideration.
Output
Weighted scoring model: criteria, weights and scales, a reproducible score table, sensitivity notes and the proposed order.
Artifacts
Creates: Weighted scoring model
What good looks like
- Weights total 100 and the scoring direction is consistent.
- Every total is reproducible from visible inputs.
- Missing scores stay unscored; no made-up quantitative support.
Quality gate
The Product Manager confirms the order, the exclusions and the exceptions to the score.
Destination
RoadmapTeklens only
Usually next
People and agents work from the same Product Brain. The owner stays accountable. Assigned agents prepare and check. A named person approves at the gate.
Choose the path that matches your role.
Set the Product AI direction with us, or test the shared Product Brain on real work with Jira and code.