ai tool questionnaire

Here is a comprehensive AI Tool Questionnaire designed to help individuals or businesses evaluate, select, or audit an AI tool. You can use this as a checklist, a scoring rubric, or a discussion guide. Part 1: Problem & Fit (Does it solve the right thing?) What specific problem are you trying to solve? (e.g., "Summarize meetings," "Generate ad copy," "Analyze CSV data for trends.") Is this a "nice-to-have" or a "must-have" for your workflow? Does the tool require you to change your existing process significantly? Rate the tools output accuracy: (1=Hallucinates constantly, 5=Always correct) Does the tool handle "edge cases" (weird inputs, unusual requests) well? Part 2: Performance & Quality (How well does it work?) Speed: How fast does it generate a response? (1=Too slow, 5=Instant) Quality of Output: - Is the writing tone appropriate for your brand? - Is the code clean and functional (for coding tools)? - Are the images free of artifacts (for image gen)? Consistency: Does it give the same quality level every time, or is it hit-or-miss? Context Window (Memory): How much information can you feed it at once? (e.g., Can it summarize a 50-page PDF or only a short email?) Part 3: User Experience (Is it easy to use?) Onboarding: How long did it take to get your first useful output? (Minutes? Hours?) Interface: - Is the UI clean or cluttered? - Is it easy to find settings (temperature, tone, format)? Exporting: How easy is it to get the data out of the tool? (Copy/Paste? API? CSV download?) Learning Curve: Does a non-technical person on your team need training to use it? Part 4: Technical & Safety (Is it secure?) Data Privacy: - Where is your data stored? (e.g., US, EU, China?) - Do they train their models on your data? (Crucial for sensitive business info) - Do they offer a "Zero Data Retention" option? Security Compliance: Is it SOC2, GDPR, or HIPAA compliant? (If needed) Hallucination Rate: Have you found factual errors in the output? How often? Bias: Have you noticed any racial, gender, or political bias in the outputs? Part 5: Integration & Workflow (Does it fit your stack?) Native Integrations: Does it work with your current tools? (Slack, Gmail, Notion, Jira, VS Code, Zapier) API Access: Can you build something custom with their API? Plugins/Extensions: Does it have a Chrome extension or mobile app? Collaboration: Can multiple people on your team use the same account/project? Part 6: Cost & Support (Is it worth it?) Pricing Model: - Per user? Per token/credit? Unlimited? - Is there a free tier to test? Hidden Costs: Do you hit a "usage cap" quickly? Do high-quality models (e.g., GPT-4 vs 3.5) cost extra? Customer Support: - Is there live chat, email only, or a forum? - How fast is the response time? Scalability: Does the pricing make sense if you go from 1 user to 100 users? Part 7: The "Vibe Check" (Subjective) Innovation: Is the tool stagnant, or are they releasing new features regularly? Trust: Do you feel like you can rely on this tool without double-checking every output? Replaceability: If this tool went offline tomorrow, how hard would it be to replace? Scoring Template (Quick Evaluation) Category Weight (1-5) Score (1-10) Total (Weight x Score) : : : : Problem Fit Performance User Experience Data Security Integrations Cost Value Total Score 80+ : Excellent fit. Go ahead. 60-79 : Good, but check low-scoring areas for risks. Below 60 : High risk. Proceed with caution or find alternatives. Example: Filling it out for a tool (e.g., ChatGPT vs. Claude) Q1 (Problem): "Generating blog outlines and summarizing long reports." Q8 (Consistency): ChatGPT 4/10 (gets lazy), Claude 9/10 (very reliable). Q14 (Data Privacy): OpenAI/Anthropic both offer "do not train on data" options for enterprise. Q22 (Cost): 20/mo for Plus vs 20/mo for Pro. Would you like me to use this questionnaire to evaluate a specific AI tool you are considering?* (e.g., "Evaluate Jasper AI for marketing" or "Evaluate Copilot for coding").