DIBB
Use it when you're drowning in feature ideas but need a clear, data-backed path from insight to scale.
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What is it?
DIBB is Spotify's four-phase product framework, Discover, Ideate, Build, Boost, designed to turn raw data into scalable features.
It solves the common trap of reactive roadmapping by forcing teams to ground every decision in user insights, creative experimentation, rapid development, and iterative growth hacks. In Discover, you mine analytics and qualitative signals to pinpoint high-impact opportunities. In Ideate, you rapidly sketch solutions and test low-fidelity prototypes. Build shifts those validated ideas into cross-functional sprints, with clear engineering milestones. Finally, Boost focuses on measurement, optimization, and amplification across channels.
By uniting data science, UX, engineering, and marketing under a repeatable cycle, DIBB prevents wasted dev cycles and ensures each feature has a launch and growth plan baked in. That makes it ideal for product teams who need an end-to-end blueprint from hypothesis to hypergrowth.
Why it matters?
DIBB ensures you're not just building features, you're building business impact. By forcing a discovery mindset before ideation, you avoid big building bets that flop. By embedding growth tactics in Boost, you lock in conversion improvements and retention wins. The result? Faster time to value, higher feature adoption, and a product roadmap that ramps up MRR instead of draining your dev budget.
How it works
Growth co-pilot turns your toughest product questions into clear, data-backed recommendations you can act on immediately.
1
Discover
Start with analytics and user interviews to identify your biggest engagement or retention gaps. Pull cohort data, run session-replay, and interview power users to validate a clear opportunity signal.
2
Ideate
Convene a cross-functional squad for rapid sketching sessions. Generate 8–10 solution hypotheses, then prototype the top two in Figma or code them as click-through mockups for quick user feedback.
3
Build
Move the validated prototype into your sprint backlog. Align product, design, and engineering on story points, set clear acceptance criteria, and ship an MVP within one or two sprints.
4
Boost
After launch, instrument KPIs, DAU, retention curves, conversion rates, and run A/B tests on messaging, in-app prompts, or referral loops. Double down on the variants that drive the biggest lift and dial back the rest.
Frequently asked questions
Growth co-pilot turns your toughest product questions into clear, data-backed recommendations you can act on immediately.
You've mapped your DIBB cycle and identified high-leverage experiments. Now, feed those hypotheses into the CrackGrowth diagnostic to uncover hidden bottlenecks and launch growth sprints that move the needle faster.