Turn fuzzy beliefs into crisp statements using Jobs-To-Be-Done, problem framing, and falsifiable outcomes. Replace vague hopes with measurable thresholds and explicit trade-offs. When a proposition risks being unfalsifiable, reword it until a single interview, metric, or experiment could clearly prove it wrong without ambiguity.
Turn fuzzy beliefs into crisp statements using Jobs-To-Be-Done, problem framing, and falsifiable outcomes. Replace vague hopes with measurable thresholds and explicit trade-offs. When a proposition risks being unfalsifiable, reword it until a single interview, metric, or experiment could clearly prove it wrong without ambiguity.
Turn fuzzy beliefs into crisp statements using Jobs-To-Be-Done, problem framing, and falsifiable outcomes. Replace vague hopes with measurable thresholds and explicit trade-offs. When a proposition risks being unfalsifiable, reword it until a single interview, metric, or experiment could clearly prove it wrong without ambiguity.

Write the decision rule before building anything: what you will do if the result is above, at, or below the threshold. Choose one primary metric to avoid multipliers of ambiguity. If a test spans weeks, define interim checkpoints to prevent sunk-cost attachment and confirmation bias from creeping silently.

Use two competing value propositions and distinct audiences in a simple landing page test. Track click-through and signup intent, not only impressions. Pair ad analytics with a follow-up survey to learn why visitors acted. Keep budgets small, iterate copy daily, and stop believing your favorite headline without proof.

Deliver the experience manually for a handful of early users, documenting every step and pain. Time-box the number of customers and hours. When repetition appears, automate the single most exhausting step first. Preserve transcripts and service logs; they become gold for onboarding flows and scoped product requirements.