Oportun·Business Analyst·Hiring Manager Screen·Intermediate

Intermediate

Jun 2026San Francisco

Summary

Got a market sizing question from Oportun, probably for some kind of analyst or finance-adjacent role. One question, no frills.

Questions Asked (1)

Estimate the annual income of a homeless person who panhandles at a busy traffic intersection in San Francisco.

Product Analytics & MetricsAdaptability & Ambiguity

Author's notes

I fumbled this a bit because I went straight to numbers without structuring my assumptions first.

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AI HintsAI Generated

Suggested Approach

Break the problem into a clear equation: annual income = (hours panhandling per day) × (days per year) × (average dollars per hour). Estimate each component using reasonable assumptions about foot traffic, conversion rates, and typical donations, then sanity-check the result against known benchmarks like minimum wage or shelter costs.

Pro tip: Acknowledge that this is a sensitive topic and that your estimate is a rough model, not a judgment; showing empathy while staying analytical demonstrates maturity and cultural awareness.

1. Define the income model

State the formula: annual income = hours per day × days per year × average hourly earnings. This makes the estimation transparent and easy to follow.

2. Estimate hours and days

Assume the person panhandles during peak traffic hours (e.g., 4–6 hours per day) and works most days but takes some off (e.g., 250–300 days per year).

3. Estimate average hourly earnings

Estimate foot traffic at a busy San Francisco intersection (e.g., 1,000 cars per hour), assume a small fraction give (e.g., 1–2%), and average donation size (e.g., $0.50–$2). Multiply to get hourly rate.

4. Calculate and sanity-check

Multiply the components to get annual income, then compare to benchmarks like minimum wage or typical panhandling studies to see if the number is plausible.

5. Discuss limitations and variability

Note that income varies widely by location, time, weather, and individual factors; mention that this is a rough estimate with high uncertainty.

Key Points to Mention

Use a structured, top-down estimation approach (e.g., Fermi estimation) to break down the problem.
Consider San Francisco-specific factors: high cost of living, heavy traffic, and local attitudes toward panhandling.
Account for variability: not all panhandlers work the same hours, and daily earnings fluctuate.
Sanity-check the result against known data, such as minimum wage or studies on panhandling income.
Acknowledge the ethical sensitivity of the question and avoid stereotyping.
State assumptions clearly and be prepared to adjust them if asked follow-up questions.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.