Interview Design

Do NOT trigger this skill for:

• Preparing as a candidate to pass interviews (different audience, different goal)
• Compensation benchmarking or offer negotiation (use a compensation skill instead)

Key principles

1. Structured beats unstructured - Consistent questions asked in the same order with pre-defined scoring criteria outperform free-form conversations every time. Interviewers who "go with their gut" introduce bias, not signal.

2. Score independently before debrief - Every interviewer must submit a written score and evidence summary before the panel debrief. Verbal-only debrief allows the first strong opinion to anchor everyone else. Written scores first.

3. Test for the actual job - Every interview exercise should map to a real task the candidate will perform in the role. If a backend engineer will never sort arrays on the job, don't test array sorting in isolation. Use job-relevant problems.

4. Rubrics prevent drift - Without a rubric, two interviewers evaluating the same candidate will produce wildly different scores. A rubric aligns on what "strong" and "weak" looks like before the first candidate walks in.

5. Debrief is where decisions happen - The debrief meeting is not a vote-counting exercise. It is a structured discussion to surface new evidence, resolve disagreements, and reach a confident collective judgment. The hiring manager owns the final call.

Core concepts

Interview types map to different evaluation needs. Coding interviews assess problem-solving and technical mechanics. System design interviews assess architectural thinking at scale. Behavioral interviews (using STAR) assess past behavior as a proxy for future behavior. Values/culture interviews assess alignment with how the team operates. Take-homes assess real-world execution and follow-through. Most loops include 3-5 rounds covering different dimensions so no single round carries all the weight.

Rubric design is the practice of defining expected performance at multiple levels (typically 1-4 or Strong No / No / Yes / Strong Yes) before interviews begin. A good rubric specifies concrete behaviors, not adjectives. "Breaks problem into subproblems, names variables clearly, asks clarifying questions before coding" is a rubric. "Good technical skills" is not. See references/rubric-templates.md for ready-to-use rubric templates.

Signal vs noise distinguishes real predictors of job performance from irrelevant factors. Signal: how a candidate structures ambiguity, responds to hints, explains trade-offs. Noise: how polished their communication style is, whether they went to a brand-name school, how quickly they reached the solution. Train interviewers to write down evidence (what the candidate said/did) rather than impressions ("seemed smart").

Calibration is the practice of running mock interviews with known candidates (or invented personas) so interviewers practice applying the rubric consistently before live interviews begin. A calibration session where two interviewers score the same response and then compare notes surfaces misalignment early.

Common tasks

Design a structured interview loop

Start by mapping the role's core competencies - typically 4-6 dimensions that predict success. Common dimensions for engineering roles:

Rules for a well-designed loop:

• Every dimension is covered by exactly one round (no redundancy)
• No interviewer covers more than one dimension (keeps each fresh)
• The loop can be completed in one business day on-site or two days virtual
• Assign a "bar raiser" - someone outside the immediate team with veto power

Create scoring rubrics - template

Use a 4-level rubric for each dimension. The key is defining the middle levels precisely - candidates cluster there, and those are the hard decisions.

Dimension: [Name, e.g., "Problem Decomposition"]
Weight: [High / Medium / Low]

4 - Strong Yes
  Candidate independently breaks problem into clean subproblems. Names
  intermediate data structures without prompting. Explains trade-offs of
  multiple approaches before choosing. Handles edge cases proactively.

3 - Yes
  Candidate breaks problem into subproblems with minor prompting. Solves
  the core problem correctly. Handles most edge cases when prompted.
  Explains the primary trade-off.

2 - No
  Candidate solves simple version but struggles to generalize. Requires
  significant prompting to identify subproblems. Misses important edge
  cases. Does not discuss trade-offs unless directly asked.

1 - Strong No
  Candidate cannot decompose the problem independently. Solution is
  incorrect or incomplete. Does not respond to hints. Cannot explain
  what their own code does.

See references/rubric-templates.md for complete rubrics for coding, system design, behavioral, and culture fit rounds.

Build a take-home coding challenge

Take-homes reveal real-world execution that 45-minute whiteboard problems cannot. Design one that:

• Scopes to 2-3 hours max - Respect candidate time. If it takes a senior engineer 2 hours, calibrate down. State the expected time in the instructions.
• Uses a realistic problem - "Build a rate limiter for our API" beats "implement a binary search tree." Domain-adjacent problems reveal how candidates think about the actual work.
• Provides a starter repo - Give candidates a repo with the scaffolding, CI, and test runner already wired. Evaluating candidates on setup skills is noise.
• Defines evaluation criteria upfront - Include a EVALUATION.md in the repo that lists exactly what reviewers will look for: correctness, test coverage, code clarity, README quality.
• Has a follow-up interview - Schedule a 30-minute code walkthrough. This prevents submitting work that isn't the candidate's own and surfaces how they think about their own decisions.

Evaluation checklist for reviewers:

• Does the solution solve the stated problem?
• Are edge cases handled?
• Is the code readable without explanation?
• Are there tests, and are they meaningful?
• Does the README explain design decisions?
• Are there obvious improvements the candidate noted themselves?

Design behavioral interview questions - STAR format

Behavioral questions follow the pattern: "Tell me about a time when..." The STAR framework (Situation, Task, Action, Result) gives candidates a structure and gives interviewers a rubric for what a complete answer looks like.

Writing strong behavioral questions:

• Anchor to a specific competency (e.g., "conflict resolution" or "driving alignment without authority")
• Phrase as past behavior, not hypothetical: "Tell me about a time you disagreed with your manager" not "What would you do if..."
• Prepare follow-up probes in advance

Scoring STAR responses:

• Situation/Task - Is the context clear and relevant to the role?
• Action - Did the candidate describe their specific actions (not "we")?
• Result - Is there a concrete, quantified outcome?
• Learning - Does the candidate show reflection and growth?

Design system design interviews

System design interviews assess whether a candidate can architect solutions for real-world scale and ambiguity. The structure matters as much as the content.

Interview structure (45-60 minutes):

1. Requirements clarification (5-10 min) - Candidate should ask scoping questions: scale, read/write ratio, latency requirements, consistency model. Award signal for good questions, not just correct answers.

2. High-level design (10-15 min) - Candidate draws the major components and data flows. Watch for separation of concerns and component boundaries.

3. Deep dive (15-20 min) - Interviewer picks one or two components to explore in depth: database schema, caching strategy, failure modes.

4. Trade-offs and bottlenecks (5-10 min) - Candidate explains what they would improve with more time, where the system might break, and why they made specific choices.

Rubric signals to watch:

• Does the candidate ask clarifying questions before whiteboarding?
• Can they estimate load and justify their component choices with numbers?
• Do they proactively identify single points of failure?
• Can they explain the trade-off between consistency and availability?
• Do they adjust the design when the interviewer changes a constraint?

Run calibration sessions

Calibration prevents rubric drift before it happens. Run one calibration session per new interviewer and one per quarter for existing panelists.

Calibration session format (60 minutes):

1. Distribute a transcript or video of a mock interview (use a fabricated candidate, never a real one without consent)
2. Each interviewer scores independently using the rubric - no discussion yet
3. Reveal all scores simultaneously (prevents anchoring)
4. Discuss every dimension where scores diverge by 2+ points
5. Reach consensus on the "correct" score and the reasoning
6. Document the calibrated examples as reference cases for future interviewers

Red flags indicating calibration is needed:

• Two interviewers gave the same candidate a 4 and a 1 on the same dimension
• An interviewer cannot cite specific evidence for their score
• Scores correlate with candidate demographics, not candidate performance
• The team has not hired anyone in 6 months despite many interviews

Conduct effective debriefs

The debrief is the most consequential 30-60 minutes in the hiring process. Run it badly and you amplify bias. Run it well and you surface the truth.

Before debrief:

• All interviewers submit written scorecards independently (hiring manager cannot see scores until all are submitted)
• Block 48 hours maximum between last interview and debrief

Debrief agenda:

1. Hiring manager reads all scorecards silently (5 min)
2. Each interviewer speaks to their dimension only - what evidence they saw, what level they scored, why (2 min per interviewer, no interruption)
3. Open discussion on dimensions with significant disagreement
4. Hiring manager asks: "Is there anything about this candidate we have not yet discussed that is relevant?"
5. Hiring manager states the decision and the primary evidence that drove it

Decision framework:

• Any Strong No from a bar raiser or domain expert is a block unless directly rebutted with evidence (not "they seemed nervous")
• "Probably yes" is a No - only hire on conviction
• Document the stated rationale in the ATS for every decision, hire or no-hire

Anti-patterns

References

For detailed content on specific topics, read the relevant file from references/:

• references/rubric-templates.md - Ready-to-use scoring rubrics for coding, system design, behavioral, and culture fit rounds

Only load a references file if the current task requires deep detail on that topic.

Related skills

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• recruiting-ops - Writing job descriptions, building sourcing strategies, designing screening processes, or creating interview frameworks.
• technical-interviewing - Designing coding challenges, structuring system design interviews, building interview...
• performance-management - Designing OKR systems, writing performance reviews, running calibration sessions,...

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