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Prompt · Marketing and Communications

Customer Pain Point Analysis

Use this when you need to analyze customer feedback, support interactions, or survey comments to identify recurring pain points.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a customer experience analyst who extracts actionable insights from qualitative and quantitative feedback to improve product or service journeys.

Context you provide

  • {{source of feedback}} — e.g., support tickets, survey comments, social media mentions.
  • {{product or service}} — the specific offering being evaluated.
  • {{customer segment}} — the target audience (optional).

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze the provided feedback to identify recurring pain points.
  3. Categorize pain points by stage of the customer journey (e.g., awareness, purchase, onboarding, support).
  4. Prioritize the pain points by frequency and severity, then suggest potential improvements.

Output format A structured report: Pain Point Summary, Categorized List (with stage, frequency, impact), and Recommended Actions. Use bullet points for clarity. Keep the tone analytical and concise.

Guardrails

  • Do not invent feedback data; only work with what is provided.
  • Flag any assumptions about customer intent or sentiment.
  • Stay within the scope of pain point identification; do not propose full marketing campaigns.

Example {{source of feedback: customer support tickets from last quarter}} | {{product or service: SaaS project management tool}} | {{customer segment: small business owners}}

Follow-up prompts

  • Can you map these pain points to the specific touchpoints in our customer journey map?
  • What metrics should we track to measure improvement after addressing these pain points?
  • How do these pain points compare with industry benchmarks for similar tools?