methodatlas
Method guideProduct Strategy

DIBB

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

ComplexityLow
Time1-2 h
Participants2-8
FormatWorkshop + async
MaturityEstablished
Plan DIBB
01

Prerequisite

What needs to be finished first

Complete firstBounded subject

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

Without scope, DIBB strategy chain becomes arbitrary.
Complete firstAccess to relevant perspectives

Quality-checked data, market and user context, strategic options and domain decision makers are available.

Without these perspectives, central claims in DIBB strategy chain remain unsupported.
02

Preparation

What needs to be ready before start

Materials

Quality-checked data, market and user context, strategic options, shared workspace, source links, and decision log.

People / roles

Product/Strategy · Data · Research · executive decision owner

Pre-read

Collect Quality-checked data, market and user context, strategic options in advance and mark open assumptions.

Time needed

60–90 minutes; recurring review

Setup

Prepare data → insight → belief → bet as an explicit reasoning chain visibly and calibrate assessment terms before starting.

03

Core question

The one question this method answers

Which bet follows from which belief, and which insight is supported by what data?

04

Flow

Phases with goal, actions, output and pitfall

DIBB starts with reliable data, interprets it as insight, states a testable strategic belief, and derives a bounded bet. Every link remains justified.

DIBB strategy chain

Fictional worked example

data → insight → belief → bet as an explicit reasoning chain as a precise working structure with a fictional example.

Data

Data information to record

31 % Abbruch; 62 % nach Konflikt; 18 Interviews.

Insight

Insight information to record

Expliziter Konfliktabschluss fehlt.

Belief

Belief information to record

Geführter Abschluss erhöht Completion.

Bet

Bet information to record

4 Wochen; +8 pp; Medianzeit Guardrail.

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

Gibson Biddle: DIBB

  1. 1

    Data evidence

    Data evidence

    Goal

    Produce data record so the core question “Which bet follows from which belief, and which insight is supported by what data?” can be answered with stronger support.

    Inputs for this step

    • Quality-checked data
    • market and user context
    • strategic options

    Actions

    • Document data quality, segment, horizon, and source.
    • Record source, rationale, and open uncertainty directly in data record.

    Output

    data record

    data record · source · uncertainty · next decision

    Quality check

    Are data observed rather than interpreted?

    Pitfall

    An opinion is labelled insight although the data-insight-belief-bet chain does not hold. Audit the chain backwards, add alternative explanations, and bound the bet with target, guardrail, and review date.

    Timing: 10–20 minutes

  2. 2

    Insight

    Insight

    Goal

    Produce insight so the core question “Which bet follows from which belief, and which insight is supported by what data?” can be answered with stronger support.

    Inputs for this step

    • data record
    • market and user context
    • strategic options

    Actions

    • Interpret pattern and test alternative explanations.
    • Record source, rationale, and open uncertainty directly in insight.

    Output

    insight

    insight · source · uncertainty · next decision

    Quality check

    Does insight follow from several pieces of evidence?

    Pitfall

    An opinion is labelled insight although the data-insight-belief-bet chain does not hold. Audit the chain backwards, add alternative explanations, and bound the bet with target, guardrail, and review date.

    Timing: 10–20 minutes

  3. 3

    Belief

    Belief

    Goal

    Produce belief so the core question “Which bet follows from which belief, and which insight is supported by what data?” can be answered with stronger support.

    Inputs for this step

    • insight
    • market and user context
    • strategic options

    Actions

    • State the strategic causal belief explicitly.
    • Record source, rationale, and open uncertainty directly in belief.

    Output

    belief

    belief · source · uncertainty · next decision

    Quality check

    Is the belief falsifiable?

    Pitfall

    An opinion is labelled insight although the data-insight-belief-bet chain does not hold. Audit the chain backwards, add alternative explanations, and bound the bet with target, guardrail, and review date.

    Timing: 10–20 minutes

  4. 4

    Strategic bet

    Strategic bet

    Goal

    Produce bet so the core question “Which bet follows from which belief, and which insight is supported by what data?” can be answered with stronger support.

    Inputs for this step

    • belief
    • market and user context
    • strategic options

    Actions

    • Decide a bounded investment with target, guardrail, and review date.
    • Record source, rationale, and open uncertainty directly in bet.

    Output

    bet

    bet · source · uncertainty · next decision

    Quality check

    Does the bet follow directly from the belief?

    Pitfall

    An opinion is labelled insight although the data-insight-belief-bet chain does not hold. Audit the chain backwards, add alternative explanations, and bound the bet with target, guardrail, and review date.

    Timing: 10–20 minutes

05

Artifact

What comes out at the end

Sketch: what the artifact looks like

DIBB · From Data to BetRun Data, Insight, Belief, and Bet as an explicit decision trail from signal to prioritized action
Data -> Insight -> Belief -> BetData, Insight, Belief und Bet machen den Weg von Signal zu Entscheidung explizit.Data bis EntscheidungsspurData, Insight, Belief und Bet machen den Weg von Signal zu Entscheidung explizit.nicht Rohdaten alleinAnnahme sichtbarBet mit BegründungDatabeobachtbares SignalInsightMuster oder BedeutungBeliefexplizite AnnahmeBetkonkrete EntscheidungEntscheidungsspurwarum diese Wette sinnvoll ist, bleibt nachvollziehbar
Form

Versioned DIBB strategy chain with date, sources, owners, and next review.

Versioning / ownership

Retain date, source, assumption state, and decision for every version of DIBB strategy chain.

Tool alternatives
  • DIBB strategy chain as board or document
  • Source and evidence register
  • Decision and action log

dibb-working-template.md

Plan DIBB around its domain steps and the concrete decision question.

DIBB: Worksheet

Question

To be confirmed

Desired outcome

To be confirmed

Scope

Establish and review the practice Time: 60–90 minutes; recurring review

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

Preparation for this scope

Method setup

  • Materials: Quality-checked data, market and user context, strategic options, shared workspace, source links, and decision log.
  • Roles: Product/Strategy · Data · Research · executive decision owner
  • Advance information: Collect Quality-checked data, market and user context, strategic options in advance and mark open assumptions.
  • Overall time needed: 60–90 minutes; recurring review
  • Setup: Prepare data → insight → belief → bet as an explicit reasoning chain visibly and calibrate assessment terms before starting.

Prepare for the work steps

Data evidence: Data evidence

  • Quality-checked data
  • market and user context
  • strategic options

Insight: Insight

  • data record
  • market and user context
  • strategic options

Belief: Belief

  • insight
  • market and user context
  • strategic options

Strategic bet: Strategic bet

  • belief
  • market and user context
  • strategic options

DIBB strategy chain

Data

Data information to record

...

Insight

Insight information to record

...

Belief

Belief information to record

...

Bet

Bet information to record

...

Enter only real input, sources, and decisions.

Gibson Biddle: DIBB

Data evidence: Data evidence

Expected artifact: data record

data record · source · uncertainty · next decision

Entry:

...

  • Are data observed rather than interpreted?

Insight: Insight

Expected artifact: insight

insight · source · uncertainty · next decision

Entry:

...

  • Does insight follow from several pieces of evidence?

Belief: Belief

Expected artifact: belief

belief · source · uncertainty · next decision

Entry:

...

  • Is the belief falsifiable?

Strategic bet: Strategic bet

Expected artifact: bet

bet · source · uncertainty · next decision

Entry:

...

  • Does the bet follow directly from the belief?

Open questions and next steps

...

Method guide: https://methodatlas.meierhoff-systems.de/en/methods/dibb/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.

dibb-beispiel.md

Concrete filled scenario, fictional example

Data: 31% abandonment, 62% after unresolved conflict; 18 interviews confirm uncertainty. Insight: teams need an explicit conflict closure. Belief: guided closure increases independent completion. Bet: four-week pilot, target +8 pp, guardrail no increase in median duration.

07

Pitfalls

Recognize symptoms and steer against them

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

  1. Data evidenceAn opinion is labelled insight although the data-insight-belief-bet chain does not hold.View in phase
  2. InsightAn opinion is labelled insight although the data-insight-belief-bet chain does not hold.View in phase
  3. BeliefAn opinion is labelled insight although the data-insight-belief-bet chain does not hold.View in phase
  4. Strategic betAn opinion is labelled insight although the data-insight-belief-bet chain does not hold.View in phase
08

Stop criteria

When to pause, resolve prerequisites, or choose another approach

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

Method after Gibson Biddle. Curated with 1 sources.

Sources: Gibson Biddle: DIBB

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

Where to go next?

A paper-based illustration representing OKRs with its core stages and visible working result.
Product Strategy
OKRs

Translates the strategic bet into concrete objectives and key results.

Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas

Formalizes the chosen bet as a testable experiment with a success metric.

View in playbookDerive Product Strategy from VisionMove from a shared product vision through a solid bet to a measurable KPI structure.

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