Strategy question

Sierra’s Agent Data Platform has to serve three very different users: CX teams that need business visibility, developers that need programmatic access and debugging tools, and the end customers whose conversations generate the data. If you owned product strategy, how would you identify the first 2-3 data problems to solve, and what framework would you use to prioritize across these stakeholders?

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What this question tests

Whether you can prioritize a shared data platform across genuinely different stakeholder needs using a repeatable framework, rather than defaulting to whichever group asks loudest.

How to approach it

  1. Map each stakeholder's core need concretely: CX teams need business visibility (dashboards, trends), developers need programmatic access and debugging tools, end customers need their data handled safely and transparently.
  2. Look for the smallest set of underlying data problems that unlock value for more than one stakeholder at once, for example a reliable, well-labeled conversation data model likely underlies both CX dashboards and developer APIs.
  3. Prioritize using a framework of reach (how many stakeholders benefit), foundational leverage (does it unblock other future work), and urgency (active customer or compliance pressure).
  4. Pick the first 2-3 problems where at least two of the three criteria are strong, for example a trustworthy data model plus basic access controls, since those serve both CX and developer needs while addressing end-customer trust.
  5. Explicitly sequence single-stakeholder problems, like an advanced developer debugging tool, for later, once the foundational shared problems are solved.

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