TheyDo's Journey AI builds a functioning customer journey map in under two minutes from any research input

Background

Customer journey mapping is a foundational activity in requirements identification and experience design. Traditional mapping requires researchers to conduct interviews, synthesize findings, conduct workshops, and manually construct journey maps — a process that typically takes days to weeks and is constrained by researcher capacity. At scale, this creates a bottleneck: teams cannot map as many journeys as they have research inputs for, leading to incomplete or outdated journey documentation.

What Was Implemented

• Journey AI tool built into the TheyDo journey management platform
• Accepts any research input: interview transcripts, surveys, sticky notes, and more
• AI extracts quotes/snippets with sentiment scores and journey step suggestions
• AI synthesizes snippets into a structured, complete journey map
• Human approval at each step: users review, edit, and accept or reject AI suggestions
• Output: a functioning journey map with insights and actionable findings

Results

TheyDo's Journey AI creates a functioning journey map in under two minutes from prepared research inputs. A practical demonstration analyzed 18 interviews and a full survey in under 10 minutes. Traditional journey mapping methods require days or weeks for equivalent work. The tool has been adopted by teams seeking to scale journey mapping without proportionally scaling researcher headcount.

Lessons

• AI-assisted journey mapping enables teams to map more customer journeys with the same research team capacity
• A human-in-the-loop design (approve/edit each snippet and journey step) maintains research quality while capturing AI speed
• Sentiment scoring at the snippet level provides a quantitative layer on top of qualitative research
• The bottleneck shifts from "creating the map" to "deciding what to do with the insights"