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Grab a ready-made interview scorecard template below, or generate one tailored to your role in seconds. A shared scorecard keeps every interviewer scoring the same competencies on the same scale.
✓ Free forever✓ No signup✓ Copy as Markdown
Start with one of these proven interview scorecard examples and adapt the competencies to your role. Pair each competency with 2–3 structured prompts from our interview question generator so every rating is backed by the same evidence.
All templates use a 1–5 rating scale: 1 = strong concern, 2 = below the bar, 3 = mixed evidence, 4 = meets the bar, 5 = exceptional. Score each competency independently before any group discussion.
Works for any role and any stage — use it as the baseline for a structured loop. Define the role first with our job description generator so each competency maps to a real requirement.
| Competency | What good looks like | Rating (1–5) |
|---|---|---|
| Communication | Explains ideas clearly, listens actively, and adjusts depth to the audience. Strong answers are concise and structured. | |
| Problem solving | Breaks ambiguous problems into parts, weighs trade-offs, and reasons out loud instead of jumping to an answer. | |
| Role expertise | Demonstrates the core skills the job requires with specific, recent examples — not generic claims. | |
| Collaboration | Describes real teamwork: sharing credit, handling disagreement directly, and unblocking others. | |
| Adaptability | Gives concrete examples of changing course on new information and learning quickly from setbacks. | |
| Motivation & culture add | Articulates why this role and this company, and brings a perspective the team currently lacks. |
Built for technical screens and onsite loops — covers coding, design, and the collaboration signals that predict on-the-job performance.
| Competency | What good looks like | Rating (1–5) |
|---|---|---|
| Coding proficiency | Writes correct, idiomatic code; handles edge cases without prompting; tests as they go. | |
| System design | Clarifies requirements first, proposes a sensible architecture, and reasons about scale, failure modes, and trade-offs. | |
| Debugging & troubleshooting | Forms hypotheses, isolates variables methodically, and reads unfamiliar code with confidence. | |
| Code quality & testing | Cares about readability, naming, and maintainability; explains what they would test and why. | |
| Technical communication | Explains technical decisions to both engineers and non-engineers without walls of jargon. | |
| Collaboration & code review | Gives and receives feedback constructively; references real review and pairing experience. | |
| Learning agility | Picks up new tools and domains quickly; shows curiosity beyond the immediate task. |
For AE, SDR, and account manager loops — focused on the behaviors that separate quota-hitters from good talkers.
| Competency | What good looks like | Rating (1–5) |
|---|---|---|
| Prospecting & pipeline discipline | Describes a repeatable outbound system with real numbers — activity, conversion, and pipeline coverage. | |
| Discovery & questioning | Asks layered, open questions; uncovers pain, budget, and decision process before pitching anything. | |
| Objection handling | Stays calm under pushback, acknowledges the concern, and reframes with evidence rather than discounting. | |
| Closing & negotiation | Walks through real deals: stakeholders mapped, timeline controlled, and mutual close plans used. | |
| Product & market knowledge | Learns your product and competitive landscape quickly; tailors the pitch convincingly in a role-play. | |
| Coachability & drive | Applies feedback within the interview itself; gives examples of acting on coaching to improve numbers. |
No spreadsheet formatting. Describe the role and copy a ready-to-use scorecard.
Enter the job title, pick the interview stage, and choose a rating scale. List the competencies you care about, or leave the field blank and the AI recommends them.
The AI builds a structured table in seconds — 5–8 job-related competencies, what to look for in strong answers, and suggested questions for each.
Copy the scorecard as a Markdown table into your ATS, Notion, or interview doc. After the loop, turn your ratings into useful notes with our guide to giving interview feedback.
Unstructured interviews barely beat a coin flip at predicting performance. A shared interview scorecard template is the cheapest fix.
Defining competencies and anchors before the interview shifts decisions from gut feel and similarity bias to documented evidence.
When every interviewer scores the same criteria on the same scale, candidates interviewed weeks apart stay directly comparable.
Documented, job-related criteria create a consistent paper trail that supports fair-hiring compliance and internal audits.
Debriefs become a review of scores and evidence instead of a debate about vibes — hiring decisions land in minutes, not meetings.
From the first phone screen to the final round — anyone running a hiring loop.
Standardize loops across every open role. Shortlist applicants with our AI resume screener, then score each interview against the same bar.
Align the panel before the loop: agree on competencies, assign focus areas per interviewer, and stop asking duplicate questions.
Hire like a bigger company without the process overhead — one scorecard per role keeps early-stage hiring honest and fast.
Walk in knowing exactly what to evaluate and what a strong answer looks like, even for roles outside your specialty.
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