methodatlas
Method guideProduct Discovery

Opportunity Scoring

A practical method guide: clarify prerequisites and materials, understand the complete process, and look up outputs, pitfalls, and stop criteria.

ComplexityMedium
Time60-120 min
Participants3-6
FormatWorkshop + async
MaturityEstablished
Plan Opportunity Scoring
01

Prerequisite

What needs to be finished first

Complete firstBounded subject

The scope and purpose of Opportunity Scoring are stated as a concrete question.

Without scope, opportunity ranking becomes arbitrary.
Complete firstAccess to relevant perspectives

Validated user job, Outcome statements, Segmented survey data and domain decision makers are available.

Without these perspectives, central claims in opportunity ranking remain unsupported.
02

Preparation

What needs to be ready before start

Materials

Validated user job, Outcome statements, Segmented survey data, shared workspace, source links, and decision log.

People / roles

Research · Product · domain expert · Analytics

Pre-read

Collect Validated user job, Outcome statements, Segmented survey data in advance and mark open assumptions.

Time needed

60 minutes design; survey separate; 45 minutes analysis

Setup

Prepare solution-neutral outcome statements plus separate importance and satisfaction ratings visibly and calibrate assessment terms before starting.

03

Core question

The one question this method answers

Which important user outcomes are currently underserved in the target segment?

04

Flow

Phases with goal, actions, output and pitfall

Opportunity Scoring evaluates desired outcomes, not features. Importance and satisfaction are collected as top-two-box percentages in the same segment; formula, sample, and uncertainty remain visible.

opportunity ranking

Fictional worked example

solution-neutral outcome statements plus separate importance and satisfaction ratings as a precise working structure with a fictional example.

opportunity ranking
OutcomeOutcome statementSegment and sampleImportanceSatisfactionOpportunity and next question
Find an actionWorked exampleMinimise time until an action with owner can be found.86 project leads; ≥2 reviews/month.84% of 86 respondents.37% of 86 respondents.131; next interview on retrieval.
  1. 1. Outcome statement

    Find an action
    Minimise time until an action with owner can be found.
  2. 2. Segment and sample

    Find an action
    86 project leads; ≥2 reviews/month.
  3. 3. Importance

    Find an action
    84% of 86 respondents.
  4. 4. Satisfaction

    Find an action
    37% of 86 respondents.
  5. 5. Opportunity and next question

    Find an action
    131; next interview on retrieval.

The example demonstrates the domain logic of Opportunity Scoring; worksheets remain blank.

Strategyn: Outcome-Driven Innovation

  1. 1

    Define outcomes

    Define outcomes

    Goal

    Produce outcome list so the core question “Which important user outcomes are currently underserved in the target segment?” can be answered with stronger support.

    Inputs for this step

    • Validated user job
    • Outcome statements
    • Segmented survey data

    Actions

    • Break the user job into solution-neutral measurable outcome statements.
    • Record source, rationale, and open uncertainty directly in outcome list.

    Output

    outcome list

    outcome list · source · uncertainty · next decision

    Quality check

    Does every statement contain direction, measure, and context without a solution?

    Pitfall

    Feature wording or biased samples create falsely precise opportunity rankings. Check direction, measure, and solution neutrality; disclose segment, sample, and uncertainty.

    Timing: 10–20 minutes

  2. 2

    Survey segment

    Survey segment

    Goal

    Produce survey data so the core question “Which important user outcomes are currently underserved in the target segment?” can be answered with stronger support.

    Inputs for this step

    • outcome list
    • Outcome statements
    • Segmented survey data

    Actions

    • Recruit the target segment and collect importance and satisfaction separately on the same scale and aggregate top-two-box percentages.
    • Record source, rationale, and open uncertainty directly in survey data.

    Output

    survey data

    survey data · source · uncertainty · next decision

    Quality check

    Are segment, recruitment, and scale documented?

    Pitfall

    Feature wording or biased samples create falsely precise opportunity rankings. Check direction, measure, and solution neutrality; disclose segment, sample, and uncertainty.

    Timing: 10–20 minutes

  3. 3

    Calculate score

    Calculate score

    Goal

    Produce opportunity scores so the core question “Which important user outcomes are currently underserved in the target segment?” can be answered with stronger support.

    Inputs for this step

    • survey data
    • Outcome statements
    • Segmented survey data

    Actions

    • Apply the formula consistently and show uncertainty and segment effects.
    • Record source, rationale, and open uncertainty directly in opportunity scores.

    Output

    opportunity scores

    opportunity scores · source · uncertainty · next decision

    Quality check

    Are values comparable within the same sample and scale?

    Pitfall

    Feature wording or biased samples create falsely precise opportunity rankings. Check direction, measure, and solution neutrality; disclose segment, sample, and uncertainty.

    Timing: 10–20 minutes

  4. 4

    Prioritise

    Prioritise

    Goal

    Produce opportunity backlog so the core question “Which important user outcomes are currently underserved in the target segment?” can be answered with stronger support.

    Inputs for this step

    • opportunity scores
    • Outcome statements
    • Segmented survey data

    Actions

    • Turn top outcomes into discovery questions without preselecting solutions.
    • Record source, rationale, and open uncertainty directly in opportunity backlog.

    Output

    opportunity backlog

    opportunity backlog · source · uncertainty · next decision

    Quality check

    Does priority remain on the outcome rather than a favourite feature?

    Pitfall

    Feature wording or biased samples create falsely precise opportunity rankings. Check direction, measure, and solution neutrality; disclose segment, sample, and uncertainty.

    Timing: 10–20 minutes

05

Artifact

What comes out at the end

Sketch: what the artifact looks like

Opportunity Scoring · wichtigste unzufriedene Outcomes findenKundenoutcomes nach Wichtigkeit und heutiger Zufriedenheit bewerten, damit echte Verbesserungshebel sichtbar werden
Opportunity ScoringDas Visual zeigt Kundenoutcomes nach Wichtigkeit und Zufriedenheit, markiert unzufriedene wichtige Outcomes als Chancen und leitet daraus ein Top Outcome ab.Hohe Wichtigkeit und niedrige Zufriedenheit findenOpportunity Scoring priorisiert Outcomes, nicht Features: Die größte Lücke zeigt den stärksten Hebel.OutcomesKundenergebnisse sauberformulierenOpportunity MapChanceStärke haltenspäterübererfülltO1O2O3O4ScoreWZOpp.O1 schneller abschließen9315O2 weniger Fehler8610O3 Export teilen546Top Outcomehohe Wichtigkeit, niedrige ZufriedenheitwichtigzufriedenOpportunity = Wichtigkeit + Lücke
Form

Versioned opportunity ranking with date, sources, owners, and next review.

Versioning / ownership

Retain date, source, assumption state, and decision for every version of opportunity ranking.

Tool alternatives
  • opportunity ranking as board or document
  • Source and evidence register
  • Decision and action log

opportunity-scoring-working-template.md

Plan Opportunity Scoring around its domain steps and the concrete decision question.

Opportunity Scoring: Worksheet

Question

To be confirmed

Desired outcome

To be confirmed

Scope

Full workshop Time: 60 minutes design; survey separate; 45 minutes analysis

Complete this worksheet on paper or in your own document during the work.

Preparation for this scope

Method setup

  • Materials: Validated user job, Outcome statements, Segmented survey data, shared workspace, source links, and decision log.
  • Roles: Research · Product · domain expert · Analytics
  • Advance information: Collect Validated user job, Outcome statements, Segmented survey data in advance and mark open assumptions.
  • Overall time needed: 60 minutes design; survey separate; 45 minutes analysis
  • Setup: Prepare solution-neutral outcome statements plus separate importance and satisfaction ratings visibly and calibrate assessment terms before starting.

Prepare for the work steps

Define outcomes: Define outcomes

  • Validated user job
  • Outcome statements
  • Segmented survey data

Survey segment: Survey segment

  • outcome list
  • Outcome statements
  • Segmented survey data

Calculate score: Calculate score

  • survey data
  • Outcome statements
  • Segmented survey data

Prioritise: Prioritise

  • opportunity scores
  • Outcome statements
  • Segmented survey data

opportunity ranking

OutcomeDirection · measure · contextAudience · n · recruitmentTop-two-box share · n · confidence intervalTop-two-box share · n · confidence intervalI + max(I−S,0) · score · uncertainty
Find an action
  • Find an action: Worked example

Enter only real input, sources, and decisions.

Strategyn: Outcome-Driven Innovation

Define outcomes: Define outcomes

Expected artifact: outcome list

outcome list · source · uncertainty · next decision

Entry:

...

  • Does every statement contain direction, measure, and context without a solution?

Survey segment: Survey segment

Expected artifact: survey data

survey data · source · uncertainty · next decision

Entry:

...

  • Are segment, recruitment, and scale documented?

Calculate score: Calculate score

Expected artifact: opportunity scores

opportunity scores · source · uncertainty · next decision

Entry:

...

  • Are values comparable within the same sample and scale?

Prioritise: Prioritise

Expected artifact: opportunity backlog

opportunity backlog · source · uncertainty · next decision

Entry:

...

  • Does priority remain on the outcome rather than a favourite feature?

Open questions and next steps

...

Method guide: https://methodatlas.meierhoff-systems.de/en/methods/opportunity-scoring/run-sheet

06

Example output

Concrete filled scenario, fictional example

Fictional example for orientation. Counts and timings describe this case and are not universal requirements.

opportunity-scoring-beispiel.md

Concrete filled scenario, fictional example

Fictional outcome: minimise time until an action with owner can be found. Importance 84% top-two-box, satisfaction 37% top-two-box; opportunity = 84 + max(84−37, 0) = 131. Segment: 86 project leads with at least two reviews per month.

07

Pitfalls

Recognize symptoms and steer against them

Quick overview, the full text is in the matching phase in the flow

  1. Define outcomesFeature wording or biased samples create falsely precise opportunity rankings.View in phase
  2. Survey segmentFeature wording or biased samples create falsely precise opportunity rankings.View in phase
  3. Calculate scoreFeature wording or biased samples create falsely precise opportunity rankings.View in phase
  4. PrioritiseFeature wording or biased samples create falsely precise opportunity rankings.View in phase
08

Stop criteria

When to pause, resolve prerequisites, or choose another approach

opportunity ranking answers the core question with traceable evidence or explicitly marked uncertainty.
Owners, next actions, and review dates are named for open points.

Method after Tony Ulwick. Curated with 1 sources.

Sources: Strategyn: Outcome-Driven Innovation

Flow, timeboxes, and pitfalls are editorially curated practice recommendations based on the listed sources.

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