Prompt Library

ChatGPT Prompts for Google Forms (Surveys + Intake)

20 copy-paste prompts

20 copy-paste ChatGPT prompts for Google Forms: survey design, question writing, form logic, response analysis, and the workflows that turn Forms from data collection into decisions.

Form Design

4 prompts

Survey Design from Goal

1/20

Design Google Form for [survey goal]. Audience: [describe]. Output: question types (multiple choice, scale, open-ended) per goal, sequence (warm-up to important), length (5-10 min max), incentive consideration. Goal-driven design > question dump.

Designs goal-driven surveys.

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Pro tip: Survey design starts with decision: what action will responses inform? If unclear, survey unnecessary. Goal-driven design = actionable data.

Question Writing

2/20

Write [N] questions for [survey topic]. Per question: clear (no ambiguity), neutral (no leading), specific (one concept per question), correct type (multiple choice / scale / open-ended). Avoid double-barrels.

Writes survey questions.

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Pro tip: Double-barreled questions ("Was the service fast and friendly?") = useless data. Single-concept questions = clean data. Most surveys have 30% bad questions.

Survey Length Calibration

3/20

Calibrate survey length. Goal: [describe]. Output: total questions, time estimate (30 sec/question rule), what to cut if over budget, completion rate impact. Long surveys = abandoned. Short surveys = limited insight.

Calibrates survey length.

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Pro tip: Surveys over 5 minutes = completion rate drops. 5-minute survey × 100 responders > 20-minute survey × 20. Length is the single biggest abandonment driver.

Open-Ended Question Strategy

4/20

Decide which questions open-ended vs multiple choice. Output: criteria (open for unexpected insight, multiple choice for known options), max open-ended (3-5 typical), placement (end), analysis cost. Open-ended = harder to analyze.

Plans open-ended questions.

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Pro tip: Open-ended = qualitative insight. But 50 open-ended on 200 responses = 10K free-text words. Reserve for the questions where unexpected patterns matter.

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Logic + Branching

4 prompts

Conditional Logic Setup

5/20

Set up form logic. Conditions: [describe — e.g., "if customer = yes, show customer questions"]. Output: section design, "Go to section based on answer," skip patterns, test scenarios. Conditional = relevant questions.

Sets up form logic.

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Pro tip: Linear forms = irrelevant questions. Conditional forms = each respondent sees only relevant. Better completion + cleaner data. Setup once; benefits all respondents.

Multi-Step Form

6/20

Multi-section form for [purpose]. Output: section breakdown (3-5 sections, 3-7 questions each), progress indicator, save-progress consideration, abandonment risk per section. Multi-step = digestible.

Builds multi-section forms.

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Pro tip: Long form on one page = overwhelming. Multi-section = digestible. Progress bar = motivation. Same questions, better structure, higher completion.

Required vs Optional Calibration

7/20

Calibrate which questions required vs optional. Output: required for: identification, segmentation, must-have data; optional for: nice-to-have, sensitive (income, demographics). Too many required = abandonment.

Calibrates required questions.

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Pro tip: Required questions on every Q = abandonment. Required only on critical = completed. Most forms over-require. Sensitive questions optional = better data + better experience.

Form Validation Rules

8/20

Set up validation rules. Use cases: email format, number ranges, regex matching, character limits. Output: per question type, validation, error message, when to validate (on submit vs live). Clean data > clean prompt.

Sets up form validation.

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Pro tip: No validation = bad data. "Phone number" + free text = "I don't want to share" + "555-1212" + "+44 20 1234 5678" = unparsable. Validation = clean data.

Response Analysis

4 prompts

Response Summary

9/20

[Paste Form responses summary or sheet]. Summarize: response rate, demographic mix, top patterns, key insights, surprises. Don't just describe data; tell story. Most form analysis stops at counts.

Summarizes form responses.

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Pro tip: Form data without story = numbers. Form data with story = insight. "60% answered X" + "this means Y about our user base" = decision-ready.

Open-Ended Theme Analysis

10/20

[Paste open-ended responses]. Theme analysis: top 5-7 themes, frequency per theme, representative quotes per theme, surprising themes, contradictions. Qualitative analysis manually = days; AI = hours.

Analyzes open-ended responses.

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Pro tip: Open-ended responses sit unread = wasted insight. AI theme analysis = patterns visible quickly. Quotes lifted = use in reports + decks.

Cross-Tab Analysis

11/20

[Describe responses]. Cross-tab analysis: how does Q1 answer correlate with Q2? Segments emerging? Patterns by demographic? More than just totals; drive at relationships in data.

Cross-tabs form responses.

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Pro tip: Single-question stats = surface. Cross-tabs = patterns. "Customer satisfaction by segment" reveals more than "average satisfaction." The interesting insights are in cross-tabs.

NPS / Score Interpretation

12/20

[NPS or rating data]. Interpret: score breakdown (promoters, passives, detractors), what shifted vs prior, drivers of detractors (open-ended), action items. NPS without interpretation = vanity metric.

Interprets NPS scores.

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Pro tip: NPS score alone = noise. NPS + driver analysis (why detractors detract) = action. Most teams report score; mature teams act on drivers.

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Workflows + Distribution

4 prompts

Form Distribution Strategy

13/20

Distribute Google Form for [audience]. Output: channels (email, social, intranet), incentive (if any), reminder strategy, response goal, deadline. Distribution = response volume.

Plans form distribution.

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Pro tip: Generic distribution ("here's a form") = low response. Specific channels + reminders + deadline = high response. Most forms under-distribute then complain about response rate.

Form → Sheet → Dashboard Pipeline

14/20

Build pipeline: Form → Sheet → Dashboard. Output: form data flows to Sheet (auto), Sheet feeds Dashboard (Looker Studio / Sheets chart), refresh strategy, who sees what. Form data alive in dashboard.

Builds form-to-dashboard pipelines.

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Pro tip: Form data sitting in Sheet = unused. Dashboard layer = visibility. Same data, different value. Underused workflow.

Form Notifications

15/20

Form response notifications. Output: who gets notified (form owner, channel), trigger (every response vs threshold), notification content, escalation rules. Most form responses notify nobody = forgotten.

Sets up form notifications.

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Pro tip: Default Forms: response goes to Sheet, no notification. Add notification (email or Slack via Apps Script) = real-time response. Critical for support / intake forms.

Form Templates Library

16/20

Build Form template library for [team]. Templates: customer feedback, employee survey, intake, RSVP, etc. Per template: question structure, branding, response handling. Reusable = consistent.

Builds form template library.

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Pro tip: Random forms per use case = inconsistent + slow build. Templated forms = consistent quality + 5-min creation. Build once, reuse many.

Frequently Asked Questions

Forms: free with Workspace, simple, basic logic. Typeform: most polished UX, conversational style, paid. SurveyMonkey: enterprise survey features, paid. Most teams: Forms (good enough + free); Typeform when polish matters.

Yes — paste responses (or sheet) into ChatGPT for theme analysis, summarization, cross-tab. AI faster than manual qualitative analysis. Verify quotes; don't trust hallucinated stats.

Short (5 min max), specific subject line, clear "what we'll do with results," reminder 1 week later, deadline, incentive sometimes. Each adds 5-10% response. Compounded matters.

Anonymous = honest answers on sensitive topics. Identified = follow-up possible. Hybrid: identified for ops; anonymous for culture/satisfaction. Match to question sensitivity.

Limit to 1 response per user (sign-in required), CAPTCHA add-on for public forms, validation rules, monitor response patterns. Public forms = bot risk. Private (org-only) forms = lower risk.

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