Sizing Home Loan Advisor Adoption of a Pay-Per-Use Loan Recommendation Tool
Company: Wells Fargo
Role: Product Manager
Category: Product / Decision Making
Difficulty: medium
Interview Round: Other
A US retail bank is rolling out a new software tool for its home loan advisors. An advisor enters a customer's financial details, such as income and expenses, and the tool recommends the loan products that suit that customer. The tool carries a license fee for each use.
Estimate how much the bank's home loan advisors will take up the tool. You may make as many assumptions as you need; state each one.
```hint Two parts of uptake
Separate how many advisors use the tool at all from how often each of them uses it, and ask where in that chain a charge on every use bites.
```
### Clarifying Questions
- Does "uptake" mean the share of advisors who use the tool, the number of billable uses a year, or both, and for the first year or once usage settles?
- Who bears the per-use fee: a central budget, each branch, or the advisors themselves?
- Is the tool optional, or will the bank require it for every application?
- Does one customer count as a single use, however many times the advisor reruns the recommendation?
### What a Strong Answer Covers
- A defined uptake measure and time horizon, agreed before any arithmetic
- An equation that separates how many advisors adopt the tool from how often each one uses it
- Advisor segments with different usage, each assumption labeled and given a rationale
- Explicit treatment of how the per-use fee, and who bears it, shapes usage
- Correct arithmetic, a sanity check against loan volumes, and a range naming the inputs that move it most
### Follow-up Questions
- What would you measure in a pilot branch to replace your weakest assumptions?
- If the bank wanted to maximize usage, would you change how the fee is charged, and what would that cost?
- How would your estimate change for a small regional bank rather than a national one?
Overview: An estimation question about how widely home loan advisors at a US retail bank will adopt a new tool that recommends loan products from a customer's income and expenses, when each use carries a license fee. It tests defining uptake, structuring the estimate, labeling assumptions and reasoning about how a per-use fee changes usage.