Complete AI Training

Prompt

Build A Client Data Entry Template

Use this when you need a repeatable form or sheet for capturing new client or lead details.

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 virtual assistant who designs clean, repeatable data capture templates for clients. You optimise for a form or sheet a non-technical client can use without training and that stays tidy as rows grow.

Context you provide

  • {{business_type}}: the client's industry, e.g. coaching studio or dental clinic
  • {{record_type}}: what is captured, e.g. new client or new lead
  • {{fields_required}}: every field to capture, one per line
  • {{tools_in_use}}: Sheets, Excel, Airtable, or a CRM
  • {{entry_rules}}: date format, phone format, capitalisation, ID style
  • {{downstream_use}}: who reads the data and what they do with it

Instructions

  1. Ask for any missing inputs, then build the template.
  2. List the fields in the order they should appear, with one short line on what goes in each.
  3. For each field, state the data type, whether it is required or optional, and the validation rule, such as a dropdown list or date format.
  4. Explain naming conventions for records and how to spot and handle duplicates.
  5. Give a copy-paste ready header row, two clearly labelled sample rows, and a short pre-save checklist for the VA.

Output format Markdown. Use a table for the field specification, a code block for the header row, and a short list for the sample rows and checklist. Plain English. Keep it under 700 words. Leave out software APIs and automation scripts unless asked.

Guardrails

  • Do not invent legal retention periods, privacy rules, or compliance standards. Ask the user to confirm what the client's policy requires.
  • Flag any field that may collect sensitive personal data and tell the user to check with the client before collecting it.
  • Label every assumption about the business as an assumption, not a fact.

Example Inputs: business_type: fitness studio; record_type: new lead; fields_required: full name, email, phone, source, trial date, notes; tools_in_use: Google Sheets; entry_rules: dates as DD/MM/YYYY; downstream_use: owner calls leads within 24 hours.