Better inputs help SEUS identify risks, assumptions, evidence gaps, and stronger recommendations.
SEUS does not reward longer prompts. SEUS rewards clearer information.
A short, specific input is usually better than a long, vague one.
AI tool for lawyersResult
AI tool that summarizes long legal contracts into plain English for small businesses. Target customers: SMBs without internal legal teams. Pricing: $29/month. Current stage: Idea stage. Main decision: Should I validate this before building?Result
Answer what you can — skip what doesn't apply. Even three or four of these makes the analysis sharper.
What are you evaluating? Who is it for? What problem does it solve? How will it make money? What makes it different? What stage is it at? What decision are you trying to make? What evidence or research do you already have?
SEUS evaluates decisions, not just startups. A few worked examples:
A subscription app that helps remote workers find quiet cafés with reliable Wi-Fi. Target users: freelancers and remote workers. Business model: €7/month subscription. Stage: idea. Decision: should I build an MVP?
Launching a premium version of our existing productivity app. Current users: 2,000 free users. Price: €12/month. Decision: should we launch now or validate pricing first?
Expanding our B2B SaaS from Portugal into Germany. Current revenue: €8k MRR. Target customers: small agencies. Decision: is Germany the right next market?
Changing our SaaS pricing from €19/month to €39/month. Current churn: 4%. Main concern: losing price-sensitive users. Decision: should we test the price increase?
Moving from warehouse/logistics work into data analytics in Switzerland. Current skills: Excel, SQL basics, Google Data Analytics course. Goal: office-based role within 6 months. Decision: what path has the best chance?