Estimating the Lockdown Jump in Home Hair Clipper and Trimmer Sales
Company: Philips
Role: Product Manager
Category: Product / Decision Making
Difficulty: medium
Interview Round: Other
Estimate how much sales of hair trimmers and clippers changed during the COVID-19 lockdown, compared with what they would have been without the pandemic. Lay out your approach, state your assumptions, do the arithmetic and check whether the answer is reasonable.
```hint Two forces, not one
Define the change against a no-pandemic baseline. Then think about who suddenly needed a device they did not own, and what during a lockdown could have held sales back at the same time.
```
### Clarifying Questions
- Which market: one country, such as the US, or worldwide? Should the answer be in units, revenue or both?
- Which period counts as "the lockdown": the first strict stay-at-home months, or the whole period of restrictions?
- Does the category include beard and body trimmers, or only clippers used to cut hair?
- Is the delta for the whole market or for one manufacturer's own sales?
### What a Strong Answer Covers
- A precise definition of the delta: market, period, unit, and the no-pandemic baseline it is measured against.
- A baseline grounded in ownership and replacement behavior.
- Separate drivers for the change, including the forces that pushed sales down or capped them, not only the surge.
- Labeled assumptions with round numbers, correct arithmetic, a sanity check, and a view of which assumption matters most.
### Follow-up Questions
- Which single assumption moves your estimate the most, and what data would you use to pin it down?
- What happens to sales in the months after barbershops and salons reopen?
- How would you turn the market estimate into a production and inventory plan for one manufacturer?
Overview: A product manager estimation question asking how much sales of hair clippers and trimmers changed during the COVID-19 lockdown. It tests defining a no-pandemic baseline, breaking the change into demand drivers, labeling assumptions with round numbers, and sanity-checking the final estimate.