Purpose
DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Product Strategy
DIBB
Links data, insights, beliefs, and bets so strategy and product decisions become traceable and reviewable.
On what basis, and with which Beliefs and Insights from which data, does the team take which Bet (decision)?
LowWorkshop + async1-2 h
How it works
The team gathers relevant data, formulates the central insights, makes beliefs derived from those insights explicit, chooses a concrete bet, versions success criteria and assumptions, and later reviews the bet against new learning.
Visual orientation
Method sketch for a quick mental model.
Flow
- 1Gather relevant data
- 2Formulate central insights
- 3Make beliefs explicit
- 4Choose a concrete bet
- 5Version success criteria and assumptions
- 6Review the bet against learning
The runsheet guides execution with 6 phases, timeboxes, 6 pitfalls, and clear stop criteria.
Open runsheetIdeal for
- Strategic decisions
- Product bets
- Cross-functional alignment
- Documenting strategy logic
Not good for
- Operational day-to-day decisions
- Pure backlog prioritization
- Topics without a data basis
Deep dive
In detail
DIBB was developed at Spotify for structured decision-making in product and strategy. A decision is built across four layers: Data are facts, metrics, or observations. Insight is the key interpretation drawn from the data. Belief is the conviction derived from the insight, including assumptions and context. Bet is the concrete decision or strategic wager. The structure keeps clear what a strategy is based on and which layer must be revisited when evidence changes.
Facilitation
Keep beliefs and bets clearly separated from data. Version DIBB documents so learning loops remain visible, and revisit beliefs when new data challenges them.
Output artifacts
DIBB documentBelief listBet listLearning report
Artifact templates
DIBB Working TemplateCompact working template for DIBB with context, input, output artifacts, and next step.markdown
DIBB Working TemplateCompact working template for DIBB with context, input, output artifacts, and next step.
markdowndibb-working-template.md
Compact working template for DIBB with context, input, output artifacts, and next step.
DIBB Working Template
Goal
Spotify framework: Data, Insight, Belief, Bet, to structure decisions in a traceable way.
Context
When and for what do we use this method?
Input
Which data, observations, decisions, or materials are available?
Execution
Short notes along the runsheet.
Output artifacts
- DIBB document:
- Beliefs list:
- Bets list:
- Learning report:
Assumptions and open questions
- ...
Decision / next step
Owner, date, and success signal.
When to choose differently
Short decision aid for existing alternatives.
Architecture Decision Record
Statt DIBB, wenn du mit Architecture Decision Record eine Architekturentscheidung mit Kontext, Optionen und Konsequenzen dokumentieren willst.
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