🧠 Decision Science, Psychology, Behavior & Analytics

Review a dashboard or report for misleading averages, trend blindness, and missing context, framed by Factfulness.

Map exposure to rare, high-impact events and fragile assumptions, framed by The Black Swan by Nassim Nicholas Taleb.

Create an assumption log that rewards truth-seeking over defending a preferred answer, framed by The Scout Mindset.

Map audience moral concerns and likely objections before messaging a sensitive topic, framed by The Righteous Mind.

Debug a habit loop by separating cue, routine, reward, and environment, framed by The Power of Habit.

Check a growth experiment for hypothesis clarity, measurement risk, and learning value, framed by Experimentation Works.

Review a data-backed claim for causality, leakage, target definition, and business relevance, framed by Data Science for Business.

Audit a user or team workflow for bandwidth pressure, tunneling, and avoidable cognitive load, framed by Scarcity.

Write a pre-mortem bet memo that separates decision quality from outcome luck, framed by Thinking in Bets.

Review claims, charts, and narratives for misleading evidence or statistical overreach, framed by Calling Bullshit.

Turn a debated unknown into a measurement plan with value of information, framed by How to Measure Anything.

Find where analytics could create a practical operating advantage, framed by Competing on Analytics.

Create a checklist that reduces inconsistent judgments across reviewers, interviews, or decisions, framed by Noise.

Review a choice architecture for user benefit, transparency, defaults, and ethical risk, framed by Nudge.

Map behavior-change friction across motivation, ability, prompts, and environment, framed by Tiny Habits by BJ Fogg.

Audit a metric story for weak signal, overfitting, noisy conclusions, and better reads, framed by The Signal and the Noise.

Design experiment guardrails so A/B tests measure real impact without avoidable harm, framed by Experimentation Works.

Check a plan or belief against base rates, bias risks, and missing evidence, framed by Thinking, Fast and Slow.

Turn a prediction into a calibrated forecast with assumptions, base rates, and update triggers, framed by Superforecasting.

Generate sharper questions for Thinking Error so assumptions, signals, and risks are easier to see, framed by The Art of Thinking Clearly by Rolf Dobelli.

Turn Moral Framing into a repeatable workflow with inputs, checks, outputs, and quality bars, framed by The Righteous Mind by Jonathan Haidt.

Critique Habit Loop and rewrite the weakest parts into something clearer and more useful, framed by The Power of Habit by Charles Duhigg.

Plan a short learning sprint for Thinking Error that tests risky assumptions and produces evidence, framed by The Art of Thinking Clearly by Rolf Dobelli.

Plan a short learning sprint for Forecast Decomposition that tests risky assumptions and produces evidence, framed by Superforecasting by Philip E. Tetlock and Dan Gardner.

Plan a short learning sprint for Habit Loop that tests risky assumptions and produces evidence, framed by The Power of Habit by Charles Duhigg.