── ── Industry
Travel Advisor — Peak-End Experience Design
The parent peak-end-rule says memory is dominated by the emotional peak and the end, not the average. Referrals and repeat bookings — a travel advisor's cheapest growth — are bought by engineering one clear peak and a strong finish, not by spreading budget evenly.
Run Travel Advisor — Peak-End Experience Design on a real problem
Bring something you're actually deciding — free, in the browser.
How it works
- Identify the intended peak moment; over-invest there (upgrade, private guide, timed reservation). - Engineer the end: last-day/departure touch (lounge, transfer, welcome-home note) so the trip closes high. - De-risk the low (arrival friction, jet-lag day) since a bad start/end disproportionately scars memory.
When to use it
- designing an itinerary you want remembered and referred
- planning honeymoon/milestone/luxury trips
- 'how do I get repeat clients and referrals?'
- setting surprise-and-delight touches
When not to use it
pure transactional booking with no relationship goal.
Worked example
Travel Advisor — Peak-End Experience Design
The parent peak-end-rule says memory is dominated by the emotional peak and the end, not the average. Referrals and repeat bookings — a travel advisor's cheapest growth — are bought by engineering one clear peak and a strong finish, not by spreading budget evenly.
Install this skill (free, MIT)
npx skills add deciqAI/knowledge-skillsUseful? Star the repo — stars help other builders find it.
Related mental models
The parent customer-relationship-ladder moves a contact up rungs from stranger → advocate.
The parent scenario-planning builds several plausible futures and a response to each.
The parent second-order-thinking traces downstream consequences others miss.
The parent opportunity-cost measures the value of the best foregone alternative.