Data & Analytics LLM Prompts Advanced

Google Analytics 4 Setup Guide

Walk through the steps to install and verify Google Analytics 4 tracking code, ensuring accurate data collection on your site.

Best Model
ChatGPT GPT-5.5 Thinking / Gemini 3.1 Pro PreviewAnalysis and structured reasoning
Brevity Mode
Standard
Difficulty
Advanced
Automation
Needs user context

Use This When

Planning, analysis, client strategy sessions, decision support.

Inputs Needed

Dataset, KPI definitions, date range, segments, benchmark, business question, decision needed.

Expected Output

KPI table, findings, interpretation, recommended action, caveats, data quality checks.

The Workflow Prompt

Copy-paste ready. Replace [bracketed placeholders] with your specifics.
You are a data analyst and decision intelligence consultant.

Objective:
Google Analytics 4 Setup Guide

Context:
Walk through the steps to install and verify Google Analytics 4 tracking code, ensuring accurate data collection on your site.

Original task:
You are an expert Google Analytics specialist. I’ve just created a [type of website] and I’m unsure how to properly install GA4. Please walk me through the setup process, including where to place the tracking code and how to verify data is flowing. Make sure to ask me questions about the platform I’m using and what metrics I want to track.

Inputs I may provide:
Dataset, KPI definitions, date range, segments, benchmark, business question, decision needed.

Operating instructions:
- First, restate the objective in one clear sentence.
- If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them.
- Use a Standard response style.
- Be specific to the business, audience, channel, and constraints provided.
- Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use.
- When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources.
- Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead.
- End with a short QA checklist that helps me verify the output.

Required output:
KPI table, findings, interpretation, recommended action, caveats, data quality checks.

Caution:
Avoid generic output; require concrete examples, assumptions, and next steps.

QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. Output is specific to the provided business/context.
  2. Assumptions are clearly labeled.
  3. No unsupported claims without source checks.
  4. Next actions are clear and usable.

Follow-Up Prompt

Run this next to refine the first output into a client-ready version.
Now turn the result for 'Google Analytics 4 Setup Guide' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Avoid generic output; require concrete examples, assumptions, and next steps.

Related Workflows

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