Katkat

Generate Customer-Support Instructions from Company Policies

AirbnbMachine Learning Engineer · Onsite

Last updated

Design a policy-grounded support RAG system with ordered instructions, applicability checks, procedural evaluation, citations, and version-aware debugging.

Design a RAG system that helps customer-support personnel resolve user issues. It reads company policies and produces step-by-step instructions for the support agent to follow.

Constraints & Assumptions

  • The output is an evidence-grounded procedure for a human support agent, not autonomous execution of account changes.
  • Policies can have versions, effective dates, and applicability conditions. Clarify which issue context is available and which facts the support agent must confirm.
  • Steps must not invent permissions, exceptions, or remedies absent from the applicable policies.
  • Include data, retrieval, model behavior, evaluation, and online debugging. No scale, model vendor, or latency SLA is specified.

Clarifying Questions to Ask

  • Which issue types are supported, and how are conflicting policies prioritized?
  • Are policies restricted by region, product, account type, or support role?
  • Should the assistant ask for missing facts before producing an executable procedure?
  • What is the escalation path when evidence is missing, conflicting, or outdated?

Part 1 — Policy ingestion and retrieval

Design policy storage, chunking, metadata, and retrieval for the issue being handled.

What This Part Should Cover

  • Version/effective-date metadata, access controls, and preservation of procedural context.
  • Retrieval of prerequisites, exceptions, and related rules, not only a superficially similar paragraph.
  • Handling of changed, deleted, or conflicting policy sources.

Part 2 — Step-by-step generation

Define how retrieved evidence becomes an ordered support procedure with references and uncertainty handling.

What This Part Should Cover

  • Applicability checks and required customer facts before taking a step.
  • Ordering, branching conditions, citations, and explicit escalation when unsupported.
  • A boundary between untrusted policy text, model instructions, and authorized human actions.

Part 3 — Evaluation and debugging

Explain how to test the system and diagnose an incorrect instruction sequence in production.

What This Part Should Cover

  • Retrieval coverage and procedural correctness, including missing prerequisites and invalid exceptions.
  • Test cases involving stale policies, conflicting clauses, missing context, and no supported answer.
  • Traceability from each generated step to retrieved versions and the decision path.

Hints

Hint 1

Retrieve the rule around the action: A policy sentence naming a remedy may be unsafe to apply without its eligibility conditions, exceptions, and approval requirements. Keep those dependencies visible to both retrieval and evaluation.

Follow-up questions

  • How would you handle a policy update while a support conversation is already in progress?
  • What would you do if the retrieved documents disagree about an exception?