AI now shapes product strategy, not just predicts it. Left unquestioned, it becomes a prophecy engine: reinforcing biases, narrowing options, and derailing learning. Treat AI as input, test counterfactuals, review second-order effects, and keep humans in the reasoning loop. Question it. Validate it.
We love what we build, even when imperfect. That’s the IKEA Effect: effort creates value. In SaaS, let users build: templates, safe drafts, sharing, audit trails, so they feel ownership. Co-create with AI as copilot or constructor. Earn loyalty with portability, not lock-in. Show ownership clearly.
Match discovery to risk, not habit. Most teams default to interviews, tests, and betas, which miss blind spots. Treat Compliance & Ethics as a first-class risk. Build a simple map: risk → stage → methods. Use AI to speed clustering, summarization, and signal detection. Focus on uncertainty reduction
Roadmaps update and backlogs move, yet when asked "Why are we building this?"—silence. That’s reasoning decay: motion without logic. Framing is shallow, strategy drifts, learning unused, priorities wobble, judgment fades, process over purpose. The backlog turns into noise.
Rituals are in place, delivery is steady, yet no one can answer why we're building. The logic layer has faded: discovery doesn't shape backlogs, strategy doesn't guide tradeoffs, output eclipses outcomes. Reconnect intent to action by making reasoning visible in every decision. Think with intention.
We live in a world of playbooks and quick frameworks. They help, but when they replace thinking, contribution dies. Stop blind execution. Ask: Is this valid for my context? Original thought is the value. Don't run someone else's logic. Slow down, think, and make it yours. Choose thinking over hacks.
That skateboard-to-car graphic isn't an MVP. It's a delivery roadmap. MVPs are for learning: the smallest test to validate riskiest assumptions. In complex orgs, call things correctly: MVP for learning, POC for feasibility, V1 for shipping. Clarity prevents waste and misaligned bets. Validate first.
Shipping continues but outcomes stall. The backlog records motion without meaning. When strategic reasoning fades, dysfunction shows up: contextless items, reactive prioritization, discovery without decisions. In healthy teams, the backlog is a reasoning space that links work, trade-offs, and goals.
Naming a dysfunction doesn’t solve it, but it makes it visible. Without shared language, teams treat symptoms, not systems: feature soup, strategy drift, prioritization theater. Name it to align, track patterns, and move from vague complaints to structural diagnosis and action.
You talked to users and did research, but the system forgets. Discovery Debt is rotting context: insights learned, then lost. Work ships, learning vanishes. Fix it by wiring memory into decisions and backlogs so every ticket ties to evidence, assumptions, and outcomes. Make learning visible Always