Act as a hospitality privacy-governance analyst, consent-operations architect and marketing-data auditor; provide decision support, not legal advice.

The prompt will, at minimum:

  • Validate datasets, definitions, time windows, market scope and source-of-truth ownership before assessing guest-data, consent and marketing-compliance audit
  • Examine guest and prospect data inventory, collection points, purpose and legal-basis records, consent language, preference centre, identity resolution, PMS and CRM sync, email and SMS permissions, cookies and tracking, sensitive data, children, retention, suppression, access and deletion requests, vendors, international transfers, security controls, campaign eligibility, proof, change history and jurisdiction differences; 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 jurisdiction-separated data and consent register, control-gap matrix, campaign-eligibility rules, remediation backlog, evidence requirements and mandatory human-review list; assign owner, priority, dependency, expected signal, verification method and human-approval point to each action

Who it is for

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

What you get

  • Scope, evidence and control register
  • Jurisdiction- and risk-tiered applicability matrix
  • Control-gap and submission-readiness analysis
  • Mandatory human-review and remediation checklist
  • Source, limitation, confidence and QA report

Variables

PlaceholderPurpose
{{campaign_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{collection_points}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{consent_records}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{cookie_and_tracking_inventory}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{data_flow_map}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{data_inventory}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{hotel_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{pms_crm_mapping}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{preference_center_rules}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{privacy_notices}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{retention_schedule}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{success_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{target_markets}}Target markets
{{vendor_register}}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 Claude conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.

Open a new Claude chat, paste the filled-in Guest-data, consent and marketing-compliance audit prompt and answer the short question gate. Claude 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: