Hiring and Interviews

Pipeline Design

Standard Technical Hiring Pipeline

Pipeline Customization

Question Type Selection

When to Use Each Format

Live Coding Best Practices

• Provide the problem statement in writing (don't make them memorize it)
• Allow language choice when possible
• Focus on problem-solving process, not syntax recall
• Give hints when stuck for >5 min (evaluate how they use hints)
• Reserve 10 min at end for questions

System Design Interview Structure

45-Minute Format

Requirements Phase — Guide the Candidate

Functional requirements (what it does):
- "Users can upload photos up to 10MB"
- "Feed shows posts from followed users, reverse chronological"
- "Search returns results within 200ms p99"

Non-functional requirements (how it performs):
- Scale: 10M DAU, 500 req/s average, 5000 req/s peak
- Availability: 99.9% uptime
- Latency: p50 < 50ms, p99 < 200ms
- Consistency: eventual is acceptable for feed, strong for payments

Evaluation Dimensions

Example System Design Questions by Level

Evaluation Rubrics

Structured Scoring Template

Score each dimension 1-4. Avoid 5-point scales (the middle becomes a dumping ground).

Coding Interview Rubric

Calibration Sessions

Run calibration before each hiring cycle:

1. Interviewers independently score the same recorded interview (or written scenario)
2. Compare scores; discuss any dimension with >1 point spread
3. Align on what "3 - Meets" looks like for this specific role
4. Document calibrated examples in the rubric

Frequency: once per quarter or when adding new interviewers.

Take-Home Assessment Design

Design Principles

Take-Home Structure

# Assessment: [Title]

## Context
You're building [realistic scenario]. The existing codebase has [starter code description].

## Requirements
1. [Core requirement — must complete]
2. [Core requirement — must complete]
3. [Stretch goal — bonus if time allows]

## Provided
- Starter repo: [link]
- API documentation: [link]
- Sample data: included in repo

## Time Expectation
Please spend no more than 3 hours. We value a well-structured partial solution over a rushed complete one.

## Submission
- Push to a private fork or email a zip
- Include a README explaining your approach, tradeoffs, and what you'd do with more time

## Evaluation Criteria
We'll assess:
- Code organization and readability
- Error handling and edge cases
- Testing approach
- Technical decision rationale (in README)

Take-Home Anti-Patterns

• "Build a full app from scratch" (too broad, biases toward free time)
• No time limit (candidates spend 20+ hours, creates inequity)
• Hidden evaluation criteria (candidates can't optimize for what matters)
• Requiring a specific framework/language without business justification

Hiring Metrics

Core Metrics

Quality Metrics (Lagging)

Using Metrics

• Track pass-through rates by interviewer to detect outliers (too harsh or too lenient)
• If offer acceptance < 70%, investigate comp, speed, or candidate experience
• If time-to-hire > 45 days, audit where candidates stall

Anti-Bias Practices

Structured Interview Protocol

Debrief Structure

1. Each interviewer shares:
   - Score per dimension (already submitted)
   - One strongest signal (positive)
   - One concern (if any)

2. Hiring manager synthesizes:
   - Areas of agreement
   - Areas of disagreement (discuss these)
   - Overall hire/no-hire recommendation

3. Decision:
   - Strong hire: ≥3 interviewers at 3+ average
   - Lean hire: mixed signals, discuss specific concerns
   - No hire: ≥2 interviewers below 2.5 average

Language to Avoid in Evaluations

Process Audits

Run quarterly:

• Are pass-through rates consistent across demographic groups?
• Are certain interviewers consistently harsh/lenient?
• Do take-home completion rates differ by candidate background?
• Is time-to-hire equitable across candidate sources?

Gotchas

• Over-indexing on algorithms: LeetCode-style questions test a narrow skill. Use them as one signal, not the primary filter. Pair programming or take-homes test more relevant skills.
• Culture fit bias: "Culture fit" often means "similar to us." Replace with "values alignment" and define specific values with behavioral indicators.
• Inconsistent evaluation: Without rubrics, interviewers anchor on different things. Two interviewers can both say "strong hire" for completely different (even contradictory) reasons.
• Speed vs. quality tradeoff: Pressure to fill roles fast leads to lowered bars. Track quality metrics (new hire performance) alongside speed metrics.
• Take-home inequity: Candidates with families, multiple jobs, or disabilities may have less discretionary time. Always offer an alternative format (live session with same problem).
• Interviewer burnout: Senior engineers doing 6+ hours/week of interviews burn out and give worse evaluations. Cap at 4 hours/week maximum.
• Feedback black holes: Candidates who never hear back poison your employer brand. Send rejection emails within 5 business days of decision, always.
• Panel homogeneity: All-male, all-senior, all-same-background panels introduce systematic blind spots. Diverse panels catch different signals.
• Anchoring on pedigree: FAANG experience or top-school degrees are weak predictors of job performance. Evaluate demonstrated skills, not credentials.
• Moving the goalposts: Changing evaluation criteria mid-pipeline because a favored candidate didn't score well. Lock rubrics before interviewing starts.