The Interview
When encountering an execution inquiry, it's pivotal to highlight specific elements showcasing your depth of understanding and expertise. Here are the pivotal criteria:
Understanding and Seizing the Right Opportunities
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Determine and Rank Opportunities: Not just spotting opportunities, but recognizing the ones aligning best with overarching goals.
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Deriving Goals from Constraints: When faced with limitations or challenges, how do you transform them into actionable targets?
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Evolving with the Situation: The ability to pivot when met with fresh data or changing landscapes is invaluable.
How to Tackle Goal-Oriented Queries
For instance, let's say we need to define success for Stories within Instagram?
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The Company's Vision
- What does the organization aim to achieve?
- How does the sector you're scrutinizing contribute to this bigger picture?
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Product Objectives from the User's Lens
- How does this sector further the organization's main objectives? And what benefits does the user derive?
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Metrics that Indicate Success
- Hypothetically, if this product was non-existent and suddenly appeared, how would it affect overarching metrics?
- Would it enhance user engagement or retention? Attract new users? Boost revenue?
- Identify one primary metric as your guide.
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Short-Term Surrogate Metrics
- The primary metric might be slow to register changes. Are there metrics that can act as surrogates, reflecting changes sooner?
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Analyzing Metric-Related Trade-offs
- Every metric has its drawbacks. Which ones should you be wary of when relying on your primary or surrogate metrics?
Navigating Trade-Off Queries
For example, do we want to add the ability to post Instagram Stories on the top of the screen or as a separate posting option on the bottom bar?
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Defining the Trade-Off
- If you were to commit fully to one of the options, what would the immediate and long-term repercussions be?
- Recognize the shared endgame for both options.
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Objective Setting
- Your aim should be to balance the trade-offs in a way that promotes the common long-term objective.
- By experimenting with both elements, find the blend that serves the long-term goal best.
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Continual Optimization
- Initial solutions pave the way for deeper optimization using factors like the network effect or personalization.
Breaking Down Root-Cause Analysis Queries
For instance, why is there a 10% drop in the amount of Instagram Story postings?
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Expansive Investigation: The aim is to dig into every plausible reason that might have instigated the change in metrics.
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Creating a Comprehensive List: Focus on attributes like technical details, particular funnel stages, demographic shifts, or specific product alterations.
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Stay Open-Minded: There isn't a fixed 'right' answer. It's more about exploring a broad range of possibilities, even if you don't pinpoint the exact root cause.