Results for “decision”

I'm deciding between [options]. My top values are [values]. Help me evaluate each option against my values, consider long-term consequences, notice fears vs facts, and reach a decision I can stand behind.

I'm choosing between [courses/majors]. My interests: [interests], strengths: [strengths], career ideas: [ideas]. Compare the options on content, workload, career paths and flexibility, ask me 5 questions to clarify, then give a recommendation.

Our product: [description]. Team size: [n]. Expected scale: [scale]. Should we use a monolith, modular monolith or microservices? Compare them for our situation, recommend one, and outline how to keep options open for the future.

Analyze this data and tell me what decisions it supports. Summarise the key trends, anomalies, and comparisons, then give 3 recommended actions with the evidence for each and what additional data would increase confidence. Data: [paste data]

Write a decision memo about [decision]. Include context, the question to decide, options with pros, cons, costs and risks, a recommendation with reasoning, what we'd need to believe for it to work, and next steps. One page, neutral tone.

Create a client onboarding questionnaire for a [service type] business. Include sections on business background, goals, target audience, brand assets, competitors, budget and timeline, decision makers, and how they prefer to communicate. Keep it under 20 questions.

Create a team charter for [team] working on [mission]. Include purpose, goals, roles and responsibilities, decision-making process, communication norms, meeting rhythm, conflict resolution and how we'll measure success.

Turn these meeting notes into formal minutes. Include date, attendees, agenda items, key discussion points, decisions made, and action items in a table (owner, task, due date). Keep it concise and neutral. Notes: [paste notes]

You are a machine learning engineer. Problem: [classification / regression] Data: [columns, target, size] Goal: [what decision the model supports] Write a scikit-learn pipeline: data loading, cleaning, feature engineering, train/test split, a baseline model and a stronger model, cross-validation, appropriate metrics,…

You are a business adviser (not a lawyer). Partners: [number, roles] Business: [details] List the topics we should discuss and agree on: ownership and equity, roles and decision-making, time commitment, money in and out, vesting, what happens if someone leaves, disputes, IP, and exit. For each, give questions to discu…

Act as a procurement specialist. What we're buying: [product/service] Vendors: [list with key details] Priorities: [cost, quality, support, security, integration, contract terms] Create a weighted scorecard, score each vendor with reasoning, list questions to ask each vendor, identify red flags, and recommend a choice…

Act as a top B2B sales coach. Product: [details] Typical buyer: [role] Call length: [minutes] Write a discovery call framework: opening and agenda, situation questions, pain and impact questions, current solution and alternatives, decision process and timeline, budget conversation, and next steps. Include 20 questions…