Estimation question

Estimate the ROI a sales team gets from Clay vs. manual research.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests structured estimation comparing a paid tool's cost to the fully loaded cost of the manual alternative it replaces.

Define the manual baseline: assume a sales development rep spends 2 hours a day manually researching and enriching prospect data, at a fully loaded cost of roughly 50 dollars an hour, including salary and overhead.
Calculate manual cost: 2 hours times 50 dollars is 100 dollars a day per rep, or roughly 25,000 dollars a year per rep assuming 250 working days.
Estimate Clay's cost: assume a team of 5 reps on a Clay plan costing roughly 15,000 dollars a year combined, covering both software and adjusted time spent using the tool instead of manual research.
Estimate time saved with Clay: assume research time drops from 2 hours to 20 minutes a day per rep, freeing roughly 1 hour 40 minutes a day for actual selling activity.

Builds the ROI comparison from a clear manual cost baseline, hours spent times fully loaded hourly cost, rather than guessing a generic productivity gain.
Separates the direct cost comparison, software cost versus reduced manual research cost, from the indirect value of freed selling time, which is often the larger number.
Shows the full calculation chain for a defined team size, making the logic transparent and adjustable.

Comparing only Clay's subscription cost to the reps' time cost without separately valuing the freed selling time, which understates the real ROI.
Giving a single blended ROI number without showing the underlying hours and cost assumptions.

How would this ROI change for a team already using a cheaper manual research process?
What would make the assumed 25 percent time savings too optimistic?