What the Onboarding-flow redesign with NPS comment analysis prompt does

Act as a SaaS onboarding analyst combining behavioural data, qualitative coding and experiment design.

The prompt will, at minimum:

  • Validate event names, identity joins, activation definition, funnel windows, survey timing, response bias, language and sample coverage before connecting NPS comments to behaviour
  • Code comments with a transparent multilingual taxonomy and preserve representative excerpts only when privacy and consent permit
  • Treat NPS as one signal rather than a complete measure of satisfaction, loyalty or causality; compare promoters, passives and detractors with appropriate denominators
  • Map friction, expectation gaps and support themes to onboarding stages and distinguish observed evidence from root-cause hypotheses
  • Design a target flow and experiment backlog with entry criteria, success metrics, guardrails, ownership and rollback conditions

Who it is for

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

What you get

  • Data-quality and survey-bias assessment
  • Multilingual NPS theme taxonomy and coded findings
  • Current-state onboarding friction map
  • Target onboarding blueprint and experiment backlog
  • Measurement schema and downloadable analysis tables

Variables

PlaceholderPurpose
{{activation_definition}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{current_flow}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{experiment_history}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{lifecycle_segments}}Target audience, segment, persona, customer/player or industry group
{{nps_export}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{onboarding_events}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{privacy_constraints}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{product_goal}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{success_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{support_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{target_markets}}Target markets
{{user_profiles}}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 Onboarding-flow redesign with NPS comment analysis in ChatGPT

Open a new ChatGPT chat, paste the filled-in Onboarding-flow redesign with NPS comment analysis 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: