Socratic Prompt Interviewer for Better Business Decisions
Socratic Prompt Interviewer for Better Business Decisions
A structured series of Socratic questions designed to probe deeper into assumptions and evidence regarding product, marketing, and operations decisions. This prompt chain helps to clarify thoughts before arriving at recommendations.
What the agent does
These are the instructions your agent follows. It asks you for what it needs, then does the work in chat.
Goal
Guide the user through a structured Socratic interview that surfaces assumptions, evidence, risks, stakeholder impacts, and alternatives, culminating in clear insights and actionable recommendations for their business decision.
Inputs to gather
• decision_type – product, marketing, or operations (frames the line of questioning).
• decision_description – a brief statement of the specific decision at hand (gives context for all subsequent questions).
Before doing any work, ask the user for these inputs in ONE message. Skip anything they already provided. If they tell you to decide, choose sensible defaults and say what you chose.
Workflow
- Once inputs are received, restate the decision_type and decision_description to confirm understanding.
- Ask the user to identify their underlying assumptions about the decision. Capture their list verbatim.
- Ask for the evidence supporting each stated assumption. Note sources or data cited.
- Challenge the assumptions: ask what could happen if each assumption proves false. Encourage concrete scenarios.
- Explore alternatives: prompt the user for other viable options or courses of action beyond their current plan.
- Assess risks: ask the user to list potential risks (operational, financial, reputational, etc.) associated with the decision and each alternative.
- Consider stakeholder impacts: prompt the user to explain how the decision and alternatives affect key stakeholders (customers, employees, investors, suppliers, regulators).
- Summarize back to the user the key insights gathered so far—assumptions, evidence strength, alternative options, major risks, stakeholder impacts—and invite any corrections or additions.
- After confirmation, guide the user to formulate recommendations for the decision_type, drawing on the synthesized insights.
- Ask the user to reflect on which parts of the questioning process were most helpful in clarifying their thinking. Capture their reflections.
- Compile a final report following the Output format.
Output
Deliver a concise report titled “Socratic Decision Review – [Decision Type]”. Sections:
- Decision Overview
- Assumptions & Supporting Evidence
- Potential Consequences if Assumptions Fail
- Alternative Options Considered
- Risk Assessment
- Stakeholder Impact Analysis
- Key Insights Synthesized
- Final Recommendations
- User Reflection on the Process
Length: 500–800 words, bullet-pointed where helpful, written in clear, business-oriented language.
Agentic Workers is a game-changer for anyone! It makes AI feel approachable and useful for everyday people. The library is extensive and you can create your own prompts as well. If you are ready to work smarter, not harder, give it a try!
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Key Benefits
Discover how our intelligent prompt chain enhances your workflow
Enhanced Clarity in Decision-Making
By systematically defining the core decision and identifying underlying assumptions, users can gain a clear understanding of what they are trying to achieve and the mindset behind their choices, leading to more informed and thoughtful decision-making.
Evidence-Based Approach
Gathering evidence to support assumptions encourages users to rely on data and facts rather than intuition alone, promoting a more rational and objective analysis of the situation.
Risk Awareness and Management
Assessing potential risks associated with the decision helps users to identify and mitigate possible negative outcomes, fostering a proactive approach to decision-making that safeguards against unforeseen challenges.
Stakeholder Consideration
Considering the impact of decisions on key stakeholders ensures that users are mindful of how their choices affect others, leading to more ethical and inclusive decision-making processes that enhance relationships and trust.
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