Adobe·Data Scientist·Technical Phone Screen·Senior

Senior

Jun 2026

Summary

Adobe DS interview centered on a metrics design problem for Adobe Express. Pretty open-ended, which I wasn't fully prepared for. The whole thing felt more like a product strategy conversation than a data science one.

Questions Asked (1)

Design a metrics framework for Adobe Express that senior leadership can use to evaluate product performance. Define a north-star metric, supporting input metrics, and counter metrics, and explain your reasoning for each.

Product Analytics & MetricsProduct StrategyPricing & Monetization

Author's notes

I went straight for DAU as the north-star and they pushed back pretty quickly, asking whether that actually captures value or just traffic.

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AI HintsAI Generated

Suggested Approach

Start by clarifying Adobe Express's strategic goals and target users, then propose a north-star metric that captures sustainable value creation. Build a supporting metrics tree that links input metrics to the north-star, and include counter metrics to guard against unintended consequences. Explain each choice with clear reasoning tied to product strategy and data science principles.

Pro tip: Anchor your framework in Adobe's ecosystem—show how Express metrics connect to Creative Cloud engagement and subscription revenue, and emphasize that the north-star should balance user value and business value.

1. Clarify Product Goals and User Segments

Briefly state Adobe Express's mission (e.g., empowering non-designers to create professional content) and identify key user segments (e.g., free, premium, teams). This ensures metrics align with strategic priorities.

2. Define the North-Star Metric

Propose a single metric that best captures the core value users get and its link to business success. For example, 'Weekly Active Creators who export or share at least one project' balances engagement and value realization.

3. Identify Input Metrics

Break down the north-star into actionable drivers, such as acquisition (new users), activation (first project created), engagement (projects per user), and retention (return rate). These are levers teams can influence.

4. Select Counter Metrics

Choose metrics that monitor potential negative side effects, such as churn rate, support ticket volume, or time-to-first-value. These ensure growth is healthy and sustainable.

5. Explain Reasoning and Trade-offs

For each metric, justify why it matters, how it connects to the north-star, and any trade-offs (e.g., prioritizing engagement over monetization). Show awareness of balancing user and business needs.

Key Points to Mention

North-star metric should reflect both user value (e.g., successful creations) and business value (e.g., retention or monetization).
Input metrics should be actionable, measurable, and lead indicators of the north-star.
Counter metrics guard against gaming the system and ensure long-term health (e.g., churn, quality complaints).
Tie metrics to Adobe's ecosystem: integration with Creative Cloud, cross-sell opportunities, and brand reputation.
Consider segment-level metrics (free vs. paid) to avoid one-size-fits-all conclusions.
Use a framework like HEART or AARRR to structure metrics, but adapt to Adobe Express's unique context.

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