Strategy question

Enterprise customers may hesitate to connect production codebases to Figma because of accuracy, security, and workflow risk. How would you diagnose the biggest adoption blockers, segment customers, and turn those findings into a roadmap to grow MCP and Design↔Code / Code↔Design adoption?

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What this question tests

Whether you can turn a fuzzy adoption problem into a diagnosis by customer segment and a concrete roadmap, rather than proposing generic trust-building features.

How to approach it

  1. Separate the three named blockers: accuracy (does the generated code match design intent), security (can Figma see proprietary code), and workflow risk (does it break existing dev processes).
  2. Segment customers by likely blocker: regulated enterprises probably worry about security and data residency, fast-moving teams probably worry about accuracy and rework cost.
  3. Run targeted research per segment: audit logs and interviews for security concerns, side-by-side accuracy comparisons for workflow-risk teams.
  4. Turn findings into a roadmap ordered by blocker size: if security dominates, prioritize local or on-prem MCP execution and audit trails before accuracy polish.
  5. Set an adoption metric per segment, like percentage of connected repos with an active MCP session in 30 days, to check whether the fix actually moved usage.

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