Product design question
Design an agent that works seamlessly across chat, voice, email, and SMS.
- Sierra
- Product design
- Hard
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What this question tests
Tests omnichannel product design: keeping one agent consistent and context aware across very different mediums.
How to approach it
- Define the core requirement: a customer should never have to repeat themselves when switching from chat to voice to email.
- Identify the hardest constraint per channel: voice needs low latency and short turns, email tolerates long delay but needs full context, SMS caps message length.
- Design a shared state layer: one conversation and customer context object that every channel reads from and writes to in real time.
- Design channel specific adaptation: the same underlying resolution logic, but responses reformatted for each medium, like a voice script versus a formatted email.
- Handle handoff explicitly: if a user starts on chat and calls in, the voice agent should greet them referencing the open issue, not start over.
- Confirm with the interviewer which channel switch scenario matters most, since that drives which handoff to optimize first.
What a strong answer includes
- Centers the design on one unified customer record rather than four separate bots that happen to share a brand, which is the real technical risk.
- Calls out that voice has the tightest constraint, sub second response time, and designs the architecture around that bottleneck first.
- Gives a concrete handoff example: a customer texts about a late order, then calls, and the voice agent already knows the order number and prior answer.
- Proposes a fallback to a human when channel switching itself signals frustration, since repeated channel hopping often means the bot failed.
Common mistakes
- Designing four separate experiences instead of one shared brain with channel specific presentation.
- Ignoring latency differences between channels, especially voice, which breaks the seamless feel fastest.
- Not addressing what happens when the customer changes their story slightly between channels.
Likely follow-up questions
- How would you detect that a channel switch means the customer is frustrated?
- What would you measure to know the omnichannel experience is actually working?
- How would you handle a channel, like SMS, where you cannot show rich content?
More product design questions
- How would you improve Sierra's AI agents to resolve more customer issues without escalation?Sierra · Product design · Medium
- If you joined Sierra today, what developer-facing platform capabilities would you put in v1 to help engineers deploy, observe, and iterate on AI agents reliably? Be specific about the first APIs, SDKs, workflows, or internal tools you would build, who they serve, and what criteria would determine whether something belongs in the initial platform versus a later release.Sierra · Product design · Medium
- A large healthcare payer wants Sierra to launch a customer-support agent in 8 weeks. How would you discover requirements, choose the first workflows to automate, and define an MVP that is safe enough for launch but still delivers measurable value?Sierra · Product design · Hard
- Sierra is launching the first version of its Agent SDK for enterprise developers. What would you include in the v1 launch scope, and how would you prioritize among core integration primitives, customization hooks, observability, safety controls, and brand configuration? Be explicit about the tradeoffs you would make to balance fast time-to-value with enterprise requirements.Sierra · Product design · Hard
- Sierra is considering a new SDK capability to help companies create more brand-aligned, human-sounding agents. How would you identify the right opportunity, validate that customers will use it, and decide whether it is worth investing in as a 0→1 product bet?Sierra · Product design · Hard
- You’re onboarding a large Arabic-speaking enterprise customer to Sierra. How would you discover their support workflows, identify the highest-value use cases, and define the v1 AI agent scope, including which intents to automate, which cases to escalate to humans, and what tradeoffs you would make across customer experience, implementation speed, and safety?Sierra · Product design · Hard
More questions from Sierra
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop