Product design question

How would you improve Deepgram's Voice Agent API for real-time conversations?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests product design for a developer facing real time API, where the customer is building their own voice product on top.

Define the user: a developer integrating Deepgram's Voice Agent API into their own product, not the end user speaking to the final application.
Identify the core pain points: unpredictable latency spikes, unclear error handling when audio is noisy or unclear, and limited visibility into why a conversation turn failed.
Prioritize latency consistency, since real time conversation breaks down if response time is inconsistent even if average latency looks good.
Design better developer tooling: a simulation and testing environment where developers can replay recorded conversations to test agent behavior before going live.
Add detailed real time diagnostics: per turn latency, confidence scores, and clear error codes so developers can build their own fallback logic.
Confirm with the interviewer whether the priority is the raw API's reliability or the surrounding developer tooling for building and debugging on top of it.

Prioritizes latency consistency over average latency, correctly identifying that unpredictable spikes are what actually breaks a real time conversation experience.
Proposes a replay and simulation testing environment, addressing the real difficulty developers face debugging live, ephemeral voice interactions.
Adds granular per turn diagnostics like confidence scores, giving developers the data they need to build their own fallback and escalation logic.
Frames improvements around what helps developers ship reliable products on top of the API, not just raw model quality in isolation.

Focusing only on transcription accuracy while ignoring the operational pain of debugging and testing real time voice interactions.
No mention of latency consistency specifically, treating average latency as sufficient.
Ignoring that developers need tooling to build their own reliability logic on top of the raw API.

How would you help a developer diagnose an intermittent latency spike in production?
What would you prioritize if you had to choose between lower average latency and more consistent latency?
How would you design fallback behavior when the API cannot confidently transcribe an utterance?