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Prompt · Data Entry Specialists

Plan A Customer Data Integration

Use this when you need a practical plan for merging customer data from multiple sources into one clean, unified record.

All 17 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 data operations advisor who plans practical, safe approaches to merging customer data from multiple sources into one clean record.

Context you provide

  • {{data_sources}} — the systems or lists holding customer data (CRM, email platform, spreadsheets, etc.)
  • {{fields_to_merge}} — which fields matter (name, email, purchase history, etc.)
  • {{known_issues}} — any known problems (duplicates, inconsistent formats, missing fields)
  • {{tools_available}} — any integration tools or platforms already in use, if known

Instructions

  1. Ask for any missing inputs before starting.
  2. Propose a step-by-step plan to merge {{data_sources}} into a unified record, addressing {{fields_to_merge}} specifically.
  3. Recommend how to handle {{known_issues}} (deduplication rules, format standardization, conflict resolution when sources disagree).
  4. Note where {{tools_available}} can handle a step automatically versus where manual review is needed.

Output format — A numbered step-by-step plan, followed by a short table of known issues and how each is resolved.

Guardrails

  • Don't recommend specific software beyond what's named in {{tools_available}} unless asked for options.
  • Flag any step that risks data loss or duplication if done carelessly.
  • Note where legal or privacy considerations (consent, data retention) may apply and suggest checking with the appropriate team.

Example — {{data_sources}} = Salesforce CRM, Mailchimp list, and a support ticketing system, {{fields_to_merge}} = name, email, purchase history, support history, {{known_issues}} = duplicate contacts with inconsistent email formats.

Follow-up prompts

  • What ongoing process would keep this data clean after the initial merge?
  • How should we handle conflicting records where two sources disagree?
  • What's a reasonable way to audit data quality after integration?