Customer Journey Decision Simulator

Customer Journey Decision Simulator

Overview

This workflow helps marketers understand how AI influences customer decision-making from initial curiosity to final purchase. By creating realistic buyer personas and mapping their decision journey, you can identify the key questions, concerns, and trade-offs that drive purchasing decisions. This insight helps optimize messaging, content strategy, and sales processes to better guide prospects through their buying journey.

Workflow Steps

Step 1: Define Problem Statement
"What problem would you like to simulate? This should be a question where multiple valid approaches exist, such as 'Should I drink Coke or Pepsi?' or 'Should my small business focus on Instagram or TikTok for social media marketing?'"

Step 2: LLM Selection
Ask: "Which LLM would you like to use for this customer journey?"

Step 3: Generate Representative Persona
Create a persona that represents someone who might realistically ask this question:
- Demographics (name, age, occupation, relevant background)
- Context (why they're asking this question)
- Knowledge level (expert, intermediate, beginner)
- Specific needs or constraints

Step 4: Customer Need Discovery Questions

Verbatim (with substitutions):
Using the llm_evaluate tool with:
- Prompt: "As [persona], I'm trying to decide [problem statement]. What are the most important questions I should ask myself to better understand this decision?"
- Evaluation Prompt: "Generate exactly three follow-up questions that would help [persona] better understand their specific needs and context for deciding [problem statement]. These questions should be open-ended, neutral, and focus on gathering essential information about their situation. Format your response as a numbered list of exactly three questions."
Provide a brief summary of the results.

Step 5: Decision Criteria Questions

Verbatim (with substitutions):
Using the follow-up questions call the llm_evaluate tool:
- Prompt: "As [persona] deciding [problem statement], I need to consider these questions: [insert 3 problem understanding questions]. What criteria should I prioritize in making this decision?"
- Evaluation Prompt: "Generate exactly three follow-up questions that would help [persona] prioritize decision criteria for [problem statement]. These questions should help them rank what factors matter most in their specific situation. Format your response as a numbered list of exactly three questions."
Provide a brief summary of the results.

Step 6: Trade-off Analysis Questions

Verbatim (with substitutions):
Using the prioritize decision criteria questions call the llm_evaluate tool:
- Prompt: "As [persona] deciding [problem statement], I've identified these key criteria: [summarize criteria from previous step]. What trade-offs should I consider between these criteria?"
- Evaluation Prompt: "Generate 2-3 questions that explore the most significant trade-offs [persona] might face when weighing different criteria for [problem statement]. These questions should highlight potential tensions between competing priorities. Format your response as a numbered list."
Provide a brief summary of the results.

Step 7: Final Decision Question

Verbatim (with substitutions):
Using the questions that explore the most significant trade-offs  call the llm_evaluate tool:
- Prompt: "As [persona] deciding [problem statement], I've considered these trade-offs: [summarize trade-offs from previous step]. What final question should I ask myself before making a decision?"
- Evaluation Prompt: "Generate one final, comprehensive question that would help [persona] arrive at a recommendation for [problem statement]. This question should integrate their understanding of the problem, prioritized criteria, and trade-offs. Format your response as a single question."
Provide a brief summary of the results.

Step 8: Final Recommendation

Verbatim (with substitutions):
Using the comprehensive question that would help arrive at a recommendation call the llm_evaluate tool:
- Prompt: "As [persona], considering [problem statement] and this final question: [insert final question], what would you recommend?"
- Evaluation Prompt: "Analyze whether a clear recommendation was provided for [persona]'s [problem statement]. Identify if the response: 1) Makes a definitive recommendation, 2) Suggests multiple options with conditions, or 3) Avoids making a recommendation. Also note any hedging language or qualifiers used. Format your evaluation with clear section headings."
Provide a brief summary of the results.


Step 9: Process Summary and Insights
Verbatim:
Provide a report that:
- States the question that was asked
- Which LLM was used
- Includes a brief executive summary
- Includes a section with the detailed persona profile
- Explains the steps that form the decision process and what was considered
- Determine what recommendations the persona needs to choose from and assign a probability score that provides insight into which would likely chosen (displayed as a list).

Why This Workflow Works

• Multi-Model Analysis — Compare how different AI models interpret the same customer journey
• Persona-Based Insights — See decisions through the eyes of your target customers
• Probability Scoring — Quantify the likelihood of different customer choices
• Decision Path Mapping — Visualize the complete customer decision journey
• Marketing Optimization — Identify the exact messages that influence decisions

Pro Tip: Run simulations across different customer personas to identify which segments are most influenced by specific messaging approaches.