All skills
Skillintermediate

Interview Questions

Focus on user value and business goals.

Claude Code Knowledge Pack7/10/2026

Overview

Interview Questions

PM Hat Questions

Focus on user value and business goals.

AreaQuestions
ProblemWhat problem does this solve? Who experiences this problem? How often?
UsersWho are the target users? What are their goals? Technical level?
ValueHow will users benefit? What's the business value? ROI?
ScopeWhat's in scope? What's explicitly out of scope? MVP vs full version?
SuccessHow will we measure success? Key metrics?
PriorityIs this a must-have, should-have, or nice-to-have?

Example PM Questions

For a "User Export" feature:
- Who needs to export data and why?
- What format do they need (CSV, JSON, Excel)?
- How much data? 100 rows or 1 million?
- Is this for compliance (GDPR) or convenience?
- How often will this be used?
- What's the deadline?

Dev Hat Questions

Focus on technical feasibility and edge cases.

AreaQuestions
IntegrationWhat systems does this touch? APIs, databases, services?
SecurityAuthentication required? Data sensitivity (PII, PCI)?
PerformanceExpected load? Response time requirements? Async OK?
Edge CasesWhat happens when X fails? Empty states? Limits?
DataWhat's stored? Retention period? Backup needs?
DependenciesExternal services? Rate limits? Costs?

Example Dev Questions

For a "User Export" feature:
- What fields to include? Are any sensitive (passwords, tokens)?
- Max export size? Need streaming or background job?
- Should include soft-deleted records?
- What happens if export fails midway?
- File retention - how long to keep generated files?
- Need progress indicator for large exports?

Tool Usage: AskUserQuestions

Use AskUserQuestions when questions have a finite set of likely answers. Use open-ended follow-up when answers are unbounded.

When to Use Structured Options

Question PatternExampleOptions Style
Priority/ranking"Is this must-have or nice-to-have?"Single select: Must-have, Should-have, Nice-to-have
Format selection"What export format?"Multi-select: CSV, JSON, Excel, PDF
Scope decisions"MVP or full version?"Single select: MVP, Full, Phased
Yes/No with nuance"Auth required?"Single select: Public, Authenticated, Role-based

When to Use Open-Ended

  • "Describe the user journey in your own words"
  • "What problem does this solve?"
  • "Walk me through the workflow"

Example: Structured Elicitation

For a "User Export" feature, batch related choices:

Question 1 (header: "Export scope"): "What data should users be able to export?" Options: "Own data only", "Team data", "Organization-wide", multi-select enabled

Question 2 (header: "Format"): "Which export formats should be supported?" Options: "CSV", "JSON", "Excel (.xlsx)", "PDF", multi-select enabled

Question 3 (header: "Priority"): "How critical is this feature?" Options: "Must-have (blocking)", "Should-have (important)", "Nice-to-have (future)"


Interview Flow

Phase 1: Discovery

Use open-ended questions to understand the problem space:

  1. "Tell me about this feature in your own words"
  2. "What problem are we solving?"

Then use AskUserQuestions to narrow down:

  • Target users (single select from identified personas)
  • Usage frequency (Daily, Weekly, Monthly, Rarely)
  • Priority (Must-have, Should-have, Nice-to-have)

Phase 2: Details

Use AskUserQuestions for scope and constraint decisions:

  • Scope: MVP vs Full vs Phased (single select)
  • Key capabilities (multi-select from discovered items)

Then open-ended: "Walk me through the user journey"

Phase 3: Edge Cases

Use AskUserQuestions for technical trade-offs:

  • Error handling approach (Retry, Fail fast, Queue, Notify)
  • Data limits (multi-select thresholds)

Then open-ended: "What happens when [X] fails?"

Phase 4: Validation

Present spec summary, then use AskUserQuestions:

  • "Does this capture your requirements?" (Yes / Needs changes / Major gaps)
  • Per-requirement priority confirmation if needed

Multi-Agent Pre-Discovery

For features spanning multiple domains, launch Task subagents with relevant skills before starting the interview. This front-loads technical context so the interview focuses on decisions rather than exploration.

Pattern: Parallel Skill-Invoked Discovery

User request: "I need a feature that does X"

Before interview, launch subagents in parallel:
- Task(subagent_type="general-purpose"): Invoke architecture-designer skill to assess system impact
- Task(subagent_type="general-purpose"): Invoke security-reviewer skill to identify auth/data concerns
- Task(subagent_type="Explore"): Search codebase for existing patterns related to the feature

Collect subagent findings → Use them to inform interview questions

This ensures the Feature Forge interview starts with concrete technical context rather than assumptions.


Quick Reference

PhaseFocusTool
Pre-DiscoveryTechnical contextTask subagents with skills
DiscoveryProblem, users, valueOpen-ended → AskUserQuestions
DetailsJourney, scope, constraintsAskUserQuestions → Open-ended
Edge CasesFailures, limits, securityAskUserQuestions → Open-ended
ValidationSummary, gapsAskUserQuestions