PRD * AI App * Landing Page * AI Chat Assistant * Dashboard * Case Study
TripCopilot_PRD.docx
Product Requirements Document
Problem
Planning a trip today means juggling a dozen browser tabs, a spreadsheet
for budgeting, and generic search results that ignore personal travel
style. For time-strapped travelers, this friction often means settling
for a worse trip or not planning at all.
Target user
"Time-strapped professional traveler" — has 1-2 weeks of vacation a year,
wants a curated, personalized plan without spending a weekend researching,
and wants to track spend so the trip doesn't blow the budget.
Key features
- AI Itinerary Builder — enter destination, dates, and travel style;
get a day-by-day plan instantly, editable afterward.
- Budget & Packing Tracker — set a budget cap by category, log spend,
check off a packing list.
- TripCopilot Assistant — conversational agent for on-the-fly planning
questions ("what should I do on day 2?").
- Trip Insights Dashboard — surfaces patterns across trips: where
budget goes, when people travel, how trip length affects spend.
Success metrics
- Time from "open app" to "has a usable itinerary" (target: under 3 min)
- % of users who complete a full itinerary in one session
- Post-trip satisfaction / NPS
Why AI
Natural-language input ("relaxed 5-day trip to Lisbon, food-focused")
replaces multi-step forms and filters, and personalization scales
without manually building itineraries for every destination/style
combination.