AI-Enabled Service Design Thinking
Four clusters of team activities that take one RTA service from a messy current journey to a tested future concept. Every step gives you what to do, what it needs from earlier steps, a copy-ready Claude prompt and the table your output should fill.
Master instructions
- Work as a team, with one AI thread. Keep every activity in a single Claude conversation so context carries forward.
- Feed forward. Each activity needs the dataset or outcomes from earlier steps. Check the Needs line on every step.
- Stick to the output format. Share the table with Claude so results are easy to review.
- Treat AI output as a first draft. Review, reflect and agree as a team. Your judgement is the crucial part.
The prompts are designed to run in order, but you may apply your own judgement as long as the outcome matches the output format with all relevant details.
Claude labels each finding
Supported by the dataset Β· a reasonable guess to test Β· not answerable from the data.
Your team marks each finding
Use it now Β· revisit later Β· drop it.
Evidence strength
Consistent, multiple recent sources Β· some, limited or mixed Β· anecdotal or single source.
Your team setup
Optional. What you pick here is added to the top of every copied prompt as context, so Claude never loses track of your case. Saved in this browser only.