When building an engineering culture intentionally rather than letting it emerge by accident.
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task. # Context - Pack: Developers & Tech Professionals - Category: Developer Productivity & Career - Use case: Engineering Culture & Values Framework - Source task: - Help me define engineering culture and values for {{describe_the_team_organisation_size_stage_current_culture}}. - Step 1: facilitate values discovery : what behaviours are currently rewarded and celebrated? What behaviours are punished? - Step 2: define 4-5 engineering values with specific behavioural definitions (not aspirational platitudes : observable actions). - Step 3: translate values into hiring criteria (interview questions that test for each value). - Step 4: translate values into performance review criteria. - Step 5: identify how each value should show up in code review, incident response, and product decisions. # Goal Values discovery framework, 4-5 behavioural values, hiring questions per value, performance criteria, and values-in-action examples. # Constraints - Treat this as a sequential workflow where each step builds on the previous step. - Keep every step clearly labeled and easy to run separately if needed. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output Values discovery framework, 4-5 behavioural values, hiring questions per value, performance criteria, and values-in-action examples.
{{double-curly}} with your real context.When building an engineering culture intentionally rather than letting it emerge by accident.
Engineering values that don't change what happens in code review aren't real values β test every value against 'what would we do differently in a PR with this value in mind?'
Debug this problem systematically. Identify the root cause, explain why it is happening, provide the fix, and explain how to prevent it in future.
Design the high-level architecture for this system. Cover components, data flow, scaling strategy, and key design decisions.
Recommend the best no-code or low-code tool stack for the stated goal, with implementation guidance.
Design the complete analysis approach for the stated question. Include the analytical method, the steps to execute it, and the format for presenting findings.