Strategy question
A Fortune 500 prospect wants to deploy Decagon across chat, email, and voice, but their leadership team is skeptical about safety and workflow complexity. How would you scope a 6-8 week pilot: which workflow(s) would you start with, what would you exclude, what fallback and escalation rules would you set, and what evidence would you require before proposing a broader transformation roadmap?
- Decagon
- Strategy
- Hard
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What this question tests
Tests scoping a time-boxed multi-channel pilot with explicit exclusions, fallback rules, and evidence requirements to win over skeptical enterprise leadership.
How to approach it
- Start with the lowest-risk channel and workflow, such as chat-based order status, deferring voice until chat proves out given voice's higher error cost.
- Explicitly exclude high-complexity or high-risk workflows, such as payment disputes, to keep the pilot's blast radius small.
- Define fallback and escalation rules upfront, like automatic human handoff on low confidence or after a set number of failed turns.
- Set evidence requirements before the pilot starts, such as containment rate, satisfaction, and error rate thresholds that must be met.
- Use the pilot results to propose a phased broader rollout, adding channels and complexity only as each threshold clears.
What a strong answer includes
- Sequences channels by risk, deferring voice, which is harder to contain errors in real time, until chat and email prove reliable.
- Names specific excluded workflows explicitly, not just an intent to figure out scope as they go.
- Sets pre-agreed thresholds for pilot success so leadership isn't negotiating the bar after seeing results.
- Frames the pilot as generating the specific evidence skeptical leadership asked for, tying metrics directly to their stated concerns.
Common mistakes
- Trying to prove value across all three channels at once instead of sequencing by risk.
- Leaving fallback and escalation rules vague, which is exactly what skeptical leadership will worry about.
Likely follow-up questions
- What would you do if the pilot succeeded on chat but leadership still didn't trust voice?
- How would you set the specific containment rate threshold to require before expanding scope?
More strategy questions
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- After several flagship enterprise deployments, you notice each customer asks for different custom logic, integrations, and operating processes. How would you distinguish among (a) one-off account work, (b) reusable deployment playbooks, and (c) core product investments, and how would you feed those decisions into Product and Engineering so future deployments get faster without overfitting to a single customer?Decagon · Strategy · Hard
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- Decagon can support enterprise deployments through native integrations, customer-built API/SDK integrations, or partner-built extensions. How would you prioritize which systems and deployment patterns to productize first? Walk through the decision framework you’d use, including customer demand, implementation cost, reusability across accounts, security/compliance blockers, and impact on time-to-launch.Decagon · Strategy · Hard
More questions from Decagon
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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop