Customer journey map
Business: Brightwater Analytics
Customer type: Store operations manager at a regional shop chain
Goal: Find a tool that predicts stock needs and get it running before the busy season
Made by: Lena Ortiz, with Sales and Support
Date: 8 September 2030
1. Where this comes from
12 customer interviews, 40 survey replies and support tickets from the last 6 months
2. Stages
Awareness
Considering options
Buying
Setting up
Using it
Renewing or leaving
3. What the customer does
| Stage | What they do |
|---|---|
| Awareness | Sees a post, asks a colleague |
| Considering options | Compares 3 tools, reads reviews, asks for a demo |
| Buying | Gets approval, signs, pays |
4. What the customer thinks and feels
| Stage | Feeling |
|---|---|
| Considering options | Unsure, worried about cost |
| Setting up | Frustrated by data import |
| Using it | Pleased with the first forecast |
5. Where they meet us
Website, demo call, contract email, onboarding call, help centre, account manager
6. Pain points
Pricing is hard to find. Data import takes 2 weeks. Nobody calls after set-up.
7. Best moments
The first forecast report. The onboarding call.
8. Improvements
| Improvement | Owner | Date |
|---|---|---|
| 1. Put prices on the website | Marketing | 30 September |
| 2. Offer an import helper | Support | 15 November |
| 3. Call every new customer after 30 days | Account team | 1 October |
9. How we will measure it
Time to first forecast under 7 days. Customer score after set-up above 8 out of 10.