Scenarios › Engineering
Analisi del debito tecnico del prodotto · Engineering · Advanced · 250 XP
The product team is complaining that feature velocity has dropped 40% in 18 months. Engineering suspects accumulated technical debt. The user must structure a technical debt analysis that categorizes debt by type and impact, quantifies the velocity cost, and produces a prioritized remediation roadmap.
Write the prompt you would give any AI (ChatGPT, Claude, Gemini, Copilot) to solve this real workplace scenario. Grace evaluates it in seconds across 7 dimensions: Role, Context, Objective, Constraints, Format, Audience, Efficiency: with a 0-100 score and coaching feedback. Your first 5 evaluations each day are free.
The product team is complaining that feature velocity has dropped 40% in 18 months. It is an advanced-level Engineering training scenario: you write the prompt you would give an AI to handle this situation, and Grace scores it from 0 to 100 with coaching feedback.
It is a standalone exercise you can play anytime; Engineering learning paths on Grace group related scenarios into a structured progression toward certification.
Grace analyzes your prompt across 7 dimensions (Role, Context, Objective, Constraints, Format, Audience and Efficiency) and returns a 0-100 score, a percentile against other players and specific coaching feedback in about 10 seconds.
All of them. You train the prompt, and a great prompt works with ChatGPT, Claude, Gemini, Copilot, Mistral or any model your company uses: the 7 dimensions are model-independent.
Assign the AI a precise role, give the key facts of the situation, state a verifiable objective, declare constraints (length, tone, what to avoid), and ask for the exact output format you need. Grace scores each of these elements separately.
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