What the Game UX, HUD and navigation audit prompt does

Act as a senior game UX researcher, interaction designer and accessibility-aware usability analyst.

The prompt will, at minimum:

  • Validate datasets, definitions, time windows, market scope and source-of-truth ownership before assessing game ux, hud and navigation audit
  • Examine player goals, information hierarchy, HUD density, readability, controller and input mapping, focus order, menu depth, wayfinding, onboarding, error prevention, feedback latency, inventory and map flows, combat states, screen sizes, localisation expansion, colour and contrast, motion, cognitive load, accessibility settings, telemetry and usability evidence; 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 task-based UX scorecard, annotated friction inventory, severity model, redesigned flow recommendations and usability-test backlog; 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

  • Executive summary and data-quality report
  • Game UX, HUD and navigation audit methodology and evidence ledger
  • Segmented findings, calculations and scoring
  • Prioritised action backlog with owners and validation criteria
  • Sources, limitations, confidence and QA report

Variables

PlaceholderPurpose
{{accessibility_settings}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{build_version}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{fixed_market}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{game_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{gameplay_flows}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{hud_specification}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{input_schemes}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{localization_files}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{screen_inventory}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{success_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{target_platforms}}Target platforms, consoles or standards
{{target_players}}Target audience, segment, persona, customer/player or industry group
{{telemetry_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{usability_findings}}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 UX, HUD and navigation audit in ChatGPT

Open a new ChatGPT chat, paste the filled-in Game UX, HUD and navigation audit 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: