What the Game A/B-test design and guardrail metrics prompt does

Act as a game experimentation lead, product statistician and live-service decision scientist.

The prompt will, at minimum:

  • Validate datasets, definitions, time windows, market scope and source-of-truth ownership before assessing game a/b-test design and guardrail metrics
  • Examine hypothesis quality, unit of randomisation, eligibility, exposure, sample ratio, power, minimum detectable effect, novelty, interference, metric hierarchy, retention, monetisation, fairness, crash and latency guardrails, sequential decisions and rollout risk; preserve original identifiers and show the derivation of every finding
  • Segment only when evidence supports the split. Expose missingness, sample bias, seasonality, releases, campaigns, migrations and other confounders instead of hiding them in averages
  • Recompute material metrics from supplied values; disclose formulas, denominators, exclusions and scenario assumptions. Never invent benchmarks, market sizes or competitor performance
  • Turn evidence into a preregistered experiment plan, metric dictionary, sample and duration scenarios, decision rules and staged rollout roadmap; assign owner, priority, dependency, expected signal, verification method and human-approval point to each action

Who it is for

Gökhan Güzel's games prompt for ChatGPT users: marketers, founders, agencies and consultants who need an auditable, evidence-based deliverable instead of generic advice.

What you get

  • Confirmed context, assumptions and decision criteria
  • Current-state diagnosis and strategic options
  • Recommended target model with rationale
  • 30/60/90-day implementation roadmap
  • KPI, risk, dependency, decision and QA register

Variables

PlaceholderPurpose
{{baseline_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{eligible_population}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{experiment_hypothesis}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{experiment_window}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{game_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{guardrail_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{minimum_detectable_effect}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{primary_metric}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{randomisation_unit}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{release_calendar}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{success_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{target_market}}Target market
{{technical_constraints}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{traffic_volume}}Required input value; state source, data type, format, unit, period, market and locale where applicable

How to use

Copy the prompt with the button above, replace every {{placeholder}} with your verified data, and paste it as the first message in a new ChatGPT conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.

Run Game A/B-test design and guardrail metrics in ChatGPT

Open a new ChatGPT chat, paste the filled-in Game A/B-test design and guardrail metrics prompt and answer the short question gate. ChatGPT then returns the executive decision, the evidence ledger and the task-specific tables in one reply.

Source

Original file in the multilingual prompt library on GitHub: