Journey analysis · Data Analyst / Data Scientist
Journey Drop-Off Diagnostic
Identify every significant drop-off in the user journey and diagnose each through a clarity / motivation / technical lens for both guests and registered users.
Role
Data Analyst / Data Scientist.
Context
Determination of where in the journey we are losing customers. We want to understand the different reasons that could be leading to our customer drop-offs.
Task
Identify every significant drop-off point in the user journey, defined as points where users fail to advance. For each drop-off point, apply the three-cause diagnostic:
- Clarity problem — users don't understand
- Motivation problem — users don't want to
- Technical problem — users try but can't
Constraints
We are not looking at session time-outs at this point.
Inputs
Scope for this analysis includes:
- Logged-in (registered) users
- Non-logged-in (guest) users
- CTA results from marketing
- Reminder (nudge) emails
- Special campaigns
Output Format
Provide a standard user-journey depiction with callouts along the journey of drop-off points and potential causes.
Quality Checks
- Critique the response, flag uncertainty, list assumptions
- Build self-review into the prompt
- Constraints are obeyed (tone, exclusions, data boundaries)