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Interview Design

Structured interview design is the discipline of building hiring processes that produce consistent, defensible, and predictive hiring decisions. The core insight is that unstructured conversations are notoriously unreliable predictors of job performance - structured processes with explicit rubrics dramatically improve both accuracy and fairness. This skill covers the full lifecycle: scoping the interview loop, writing rubrics, building coding challenges, calibrating interviewers, and running debriefs that lead to confident decisions.

When to use this skill

Trigger this skill when the user:

Needs to design an interview loop or process for a role
Wants to create scoring rubrics or evaluation criteria
Asks how to build a coding challenge or take-home assignment
Needs help writing behavioral interview questions
Wants to design a system design interview round
Is trying to assess culture fit in a structured, defensible way
Needs to run calibration sessions with a panel
Asks how to run an effective debrief meeting

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

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.
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.
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.
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.
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:

Dimension	Who covers it
Technical fundamentals	Coding round 1
System design / architecture	System design round
Problem-solving approach	Coding round 2
Collaboration / communication	Bar raiser or cross-functional
Values and culture	Hiring manager or peer
Past impact and trajectory	Behavioral / resume deep-dive

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

Competency	Primary question	Follow-up probe
Handling ambiguity	Tell me about a project where the requirements were unclear. How did you proceed?	What would you do differently?
Driving impact	Tell me about the highest-impact project you've worked on. What made it high-impact?	How did you measure that impact?
Conflict resolution	Tell me about a time you had a serious technical disagreement with a peer.	How was it resolved?
Prioritization	Tell me about a time you had more work than you could finish.	What did you drop, and how did you decide?
Ownership	Tell me about something that went wrong on a project you led.	What did you change afterward?

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):

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.
High-level design (10-15 min) - Candidate draws the major components and data flows. Watch for separation of concerns and component boundaries.
Deep dive (15-20 min) - Interviewer picks one or two components to explore in depth: database schema, caching strategy, failure modes.
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):

Distribute a transcript or video of a mock interview (use a fabricated candidate, never a real one without consent)
Each interviewer scores independently using the rubric - no discussion yet
Reveal all scores simultaneously (prevents anchoring)
Discuss every dimension where scores diverge by 2+ points
Reach consensus on the "correct" score and the reasoning
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:

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

Anti-pattern	Why it fails	What to do instead
Gut-feel interviews	Interviewers cannot separate "I like them" from "they can do the job." Correlates with affinity bias, not job performance	Use structured questions and rubrics; require evidence-based scorecards
Brainteaser questions	"How many golf balls fit in a school bus?" measures nothing relevant to engineering work. Banned at most major tech companies	Use problems derived from real work the candidate will actually do
Group debrief without written scores	First speaker anchors the group. Quieter interviewers defer. The decision reflects seniority, not evidence	Require independent written scorecards before any verbal discussion
Hiring bar creep	Interviewers gradually raise standards over months until no one is hireable, stalling team growth	Tie rubric levels to job requirements, not to the best candidate ever interviewed
Same-style duplication	Two rounds both test the same coding dimension because neither interviewer was briefed on coverage	Map each dimension to exactly one round before the loop starts
Culture fit as veto	"Not a culture fit" used as a catch-all rejection with no supporting evidence - often a proxy for bias	Define culture/values criteria explicitly in the rubric; require behavioral evidence

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

When this skill is activated, check if the following companion skills are installed. For any that are missing, mention them to the user and offer to install before proceeding with the task. Example: "I notice you don't have [skill] installed yet - it pairs well with this skill. Want me to install it?"

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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