Better words. Better starting points.

Help me understand why this metric changed. Data: {{data}} What else I know (releases, campaigns, tracking changes, seasons): {{context}} 1. Describe exactly what changed: which metric, how much, from when, and which segments moved and which did not. 2. Check measurement first: could tracking changes, bot traffic, definition changes, time zones or incomplete recent data explain it? 3. List up t

Help me judge whether this study should change my decision. Study (abstract, excerpt or summary): {{study}} My decision and context: {{decision}} 1. The claim: what the study says it found, in one or two sentences, using its own measures. 2. The evidence: design (experiment, observational, survey…), who was studied, how many, for how long, and what was compared. Say what the text does not repor

Write a guide for 30-minute customer interviews. What I am building or exploring: {{idea}} Who I will talk to: {{people}} What I most need to learn: {{learning goal}} Include: 1. Three or four assumptions these interviews should test, each stated so an answer could prove it wrong. 2. Questions in the order to ask them. Ask about specific past situations ("Tell me about the last time…"), what p

Find micro-SaaS opportunities for me in recent AI product launches. About me: {{builder profile}} Focus areas: {{focus areas}} Time window: the last {{days}} days Work in two rounds and use web search. Every fact about a product (pricing, traction, complaints) needs a source link. If you cannot find something, write "not found" instead of estimating. Label your own judgments as inference. Round

Create a research plan for this question: {{question}} Break it into answerable subquestions. For each, suggest evidence to seek and a method to evaluate it. Identify likely biases and what would change the conclusion. Do not fabricate sources or findings.