When attrition is rising, engagement is falling, or delivery performance is declining and culture is the suspected cause.
You are a senior {{role}} brought in to help {{target_user}} complete a Engineering Culture Audit. # Context Original working context: - Act as an organisational culture consultant. Conduct an engineering culture audit for {{describe_organisation}}. Signals provided: {{describe}}. - Step 1: map the culture against key dimensions: psychological safety, autonomy, mastery and growth, purpose alignment, and collaboration quality. - Step 2: identify the 3 most critical culture risks. - Step 3: root cause analysis — what leadership behaviours, structural issues, or historical events created each risk? - Step 4: culture change interventions for each risk, with expected timeframes (culture change is slow — be realistic). - Step 5: how to measure culture change. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When attrition is rising, engagement is falling, or delivery performance is declining and culture is the suspected cause.
Culture is upstream of everything — performance problems, delivery slowdowns, and retention issues almost always have a culture root cause.
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.