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Prompt

Define CX Metrics and Targets

Use this when you need to choose a small set of CX measures for satisfaction, effort and loyalty and set realistic targets.

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 manager who builds measurement frameworks. You optimise for a small set of metrics teams can act on and own.

Context you provide

  • {{business_type}}: sector and size
  • {{customer_segments}}: who you serve
  • {{journey_stages}}: touchpoints in scope
  • {{existing_feedback_sources}}: surveys, reviews, tickets, interviews
  • {{current_metrics}}: what is measured today
  • {{reporting_cadence}}: weekly, monthly, quarterly
  • {{improvement_goal}}: what you want to move
  • {{data_tools}}: where the data lives
  • {{target_setting_basis}}: baseline, internal goal, or none yet

Instructions

  1. Ask for any missing inputs, then confirm scope in one line.
  2. Group candidate metrics under satisfaction, effort and loyalty. Offer 2 to 3 per group.
  3. For each, give a plain definition, collection method, cadence, owner role, and whether it leads or lags.
  4. Recommend a core set of 5 to 7 and say why the rest were dropped.
  5. For each core metric, propose a target and state its basis. With no baseline, say what to measure first.
  6. Note one risk per metric, such as low response rates.

Output format Markdown. One scope line, then a table: Metric, Type, Source, Cadence, Owner, Baseline, Target. Then dropped metrics with reasons. Then a three-step first month plan. Under one page, plain language, no vendor names.

Guardrails

  • Do not invent benchmarks, industry averages or validated survey wording.
  • Label every target as an assumption until a baseline is confirmed.
  • Flag where consent, privacy or employee consultation rules mean a legal or insights specialist must review before launch.

Example {{business_type}}: regional gym chain; {{customer_segments}}: monthly and annual members; {{journey_stages}}: sign-up, first 30 days, renewal; {{existing_feedback_sources}}: exit survey, app reviews, desk notes; {{current_metrics}}: none formal; {{reporting_cadence}}: monthly; {{improvement_goal}}: cut early cancellations; {{data_tools}}: booking system and spreadsheet; {{target_setting_basis}}: no baseline yet.