Eucalyptus·Software Engineer·Take-home Assignment·Intermediate

Intermediate

Apr 2026

Summary

Bizops interview at Eucalyptus with a take-home style prompt around workforce planning. Pretty open-ended, which I wasn't fully prepared for.

Questions Asked (1)

Build a simple model to forecast headcount needs over the next 12 weeks as the company scales.

Product Analytics & MetricsAdaptability & AmbiguityCross-functional Alignment

Author's notes

I stared at this for longer than I'd like to admit.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the business context and assumptions, then outline a simple, transparent model (e.g., linear or driver-based) that links headcount to a key metric like revenue or user growth. Focus on the modeling process and how you'd validate and communicate it, rather than getting lost in complex math.

Pro tip: Acknowledge that headcount forecasting is inherently uncertain and emphasize the importance of scenario planning and regular recalibration with stakeholders. This shows you understand the business reality and can adapt.

1. Clarify Requirements and Assumptions

Ask questions to understand the business context: What drives headcount? What's the current team size? What growth is expected? What's the time horizon and granularity? Document assumptions explicitly.

2. Choose a Simple Model

Select a straightforward approach, such as linear extrapolation based on historical growth, or a driver-based model where headcount is a function of revenue or user growth. Keep it interpretable.

3. Incorporate Key Drivers and Constraints

Identify factors like hiring lead time, attrition, and budget constraints. Adjust the model to account for these, perhaps using ratios (e.g., engineers per 1000 users).

4. Validate and Iterate

Backtest the model with historical data if available. Discuss how you'd validate assumptions with stakeholders and refine the model over time.

5. Communicate and Plan Scenarios

Present the forecast with clear caveats, and provide best-case, worst-case, and expected scenarios. Suggest a cadence for updating the model.

Key Points to Mention

Start with a simple model (e.g., linear regression, moving average) and avoid overcomplicating.
Identify key business drivers (e.g., revenue, user growth, product roadmap) that influence headcount.
Account for hiring lead time, attrition, and ramp-up time for new hires.
Use scenario analysis (optimistic, pessimistic, realistic) to handle uncertainty.
Validate assumptions with cross-functional teams (HR, Finance, Product) and iterate.
Communicate the model's limitations and the need for regular updates.

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