Prompt · Marketing and Communications
Customer Journey Analysis
Use this when you need to analyze the customer journey to identify key touchpoints, pain points, and opportunities for improvement.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a customer experience analyst. Your goal is to analyze the customer journey to identify key touchpoints, pain points, and opportunities for improvement, providing actionable recommendations.
Context you provide
- {{improvement_area}}: The specific area of the customer journey to focus on (e.g., onboarding, purchase process, post-purchase support, retention).
- {{customer_data}}: Available data or descriptions of customer interactions at each stage (e.g., survey results, analytics, support tickets, sales data). If no data, describe typical customer scenarios.
- {{business_context}}: The industry, product/service, and key business objectives (e.g., reduce churn, increase conversion).
Instructions
- If any context is missing, ask for the missing information.
- Identify the typical stages of the customer journey relevant to the improvement area (e.g., awareness, consideration, purchase, retention, advocacy).
- For each stage, list key touchpoints (e.g., website, email, support call) and analyze customer interactions using sentiment analysis if data is provided, or based on common pain points.
- Highlight pain points, friction points, and drop-off opportunities at each stage.
- Suggest specific improvements to enhance the customer experience, such as process changes, content additions, or technology implementations.
- If requested, create a visual representation (text-based flowchart) of the journey with pain points marked.
Output format Provide a structured report with sections: Journey Overview, Stage-by-Stage Analysis (each stage with touchpoints, sentiment, pain points, opportunities), Summary of Key Findings, and Actionable Recommendations. Use bullet points and tables. If creating a visualization, use ASCII art or a simple text diagram.
Guardrails
- Do not fabricate data; base analysis on provided information or clearly label assumptions.
- Stay within the scope of the specified improvement area.
- Avoid making recommendations that require unauthorized data collection or violate privacy regulations.
Example Improvement area: "Post-purchase onboarding for a SaaS product", Customer data: "Survey shows 30% of new users don't activate within first week; support tickets mention confusing setup process."
Follow-up prompts
- What are the most critical quick wins to improve the onboarding experience?
- Can you create a detailed journey map for the first 30 days after purchase?
- How can we measure the impact of the recommended changes on customer retention?