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5 Steps to Turn an Interview Debrief into a Scorecard

A visual guide: turn an interview panel's debrief transcript into a ChatGPT scorecard with evidence for each must-have, then a candidate follow-up.

  1. ChatGPT for HR. Turn an interview debrief into a scorecard. Willow Bend Physical Therapy (made up) is hiring a Front Desk Lead. 5 steps.
    Slide 1 of 7
  2. Step 1. Copy the transcript. In the Google Doc from the debrief, open Edit, choose Select all, then Edit and Copy. Screenshot: Google Docs transcript of an interview panel's debrief on a front desk lead candidate, with the Edit menu open.
    Slide 2 of 7
  3. Step 2. Ask for a scorecard. Name the four must-haves. Ask for Strong, Partial or Not discussed on each, with a short quote as evidence. Screenshot: ChatGPT answer scoring the candidate Strong, Partial or Not discussed on each must-have with quotes, plus decisions and an action items table.
    Slide 3 of 7
  4. Step 3. Set the rules. Only what is in the transcript and about the must-haves. No guessing at age, family, health or religion. Not stated for a missing owner or date.
    Slide 4 of 7
  5. Step 4. Fill the gaps yourself. Two due dates say Not stated. Tell ChatGPT the dates and it updates the action items table. Screenshot: ChatGPT action items table from the interview debrief where two due dates say Not stated, with the open questions below.
    Slide 5 of 7
  6. Step 5. Write the follow-up. A short email inviting the candidate to the final interview, with only the next steps. Scores and pay talk stay inside the team. Screenshot: ChatGPT follow-up email to the candidate inviting her to a final interview, with only the next steps.
    Slide 6 of 7
  7. Practice it in copies of Google Docs and ChatGPT, free. Interview Debrief to Scorecard. 24 steps, about 9 minutes. Free at learn.ynteractive.com.
    Slide 7 of 7

Swipe or scroll sideways for all 7 slides. The whole guide is written out below.

The guide in text

Willow Bend Physical Therapy (made up) is hiring a Front Desk Lead. 5 steps.

Step by step

  1. Copy the transcript

    In the Google Doc from the debrief, open Edit, choose Select all, then Edit and Copy.

  2. Ask for a scorecard

    Name the four must-haves. Ask for Strong, Partial or Not discussed on each, with a short quote as evidence.

  3. Set the rules

    Only what is in the transcript and about the must-haves. No guessing at age, family, health or religion. Not stated for a missing owner or date.

  4. Fill the gaps yourself

    Two due dates say Not stated. Tell ChatGPT the dates and it updates the action items table.

  5. Write the follow-up

    A short email inviting the candidate to the final interview, with only the next steps. Scores and pay talk stay inside the team.

Businesses and people in the examples are made up (Willow Bend Physical Therapy is a made-up business). The steps, screens and wording come from the free lesson and the Stepthrough glossary and prompt library.

Do it yourself, free

Score Every Candidate Fairly After the Interview using ChatGPT. Turn the transcript of an interview panel's debrief into a scorecard against the role's must-haves, the decisions, action items with owners and dates, and a follow-up email to the candidate. You do every step yourself in a practice copy of ChatGPT, it checks your work as you go, and “Do it for me” finishes any step you get stuck on. Free, and nothing touches your real accounts.

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Plain-English definitions, each with an example from a free lesson.

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Recruiting & HR tip. Score every candidate on the same must-haves. Ask ChatGPT for a scorecard from the debrief transcript: each must-have, a rating and a quote as evidence. If it never came up, it says Not discussed. And tell it to leave out anything that isn't about the job. Stepthrough, free at learn.ynteractive.com.Turn an interview debrief into a fair scorecard

Interview write-ups drift into general impressions, and a must-have nobody asked about quietly becomes an assumption.

Industry tip One graphic

AI in hiring: myth vs fact. Myth: Removing names is enough to stop AI bias. Fact: It helps, but bias can come through other details, like gaps in work history, schools or phrasing. Job-related criteria and evidence for each score do more than hiding a name.Myth: Removing Names Is Enough to Stop AI Bias

Myth vs fact: hiding names helps, but bias comes through other details. Job-related criteria and evidence for each score do more.

Myth vs fact One graphic

Prompt of the day. Update a candidate after the interview. Role: You are the hiring manager at [BUSINESS], writing to a candidate after their interview. Context: The candidate is [CANDIDATE AND ROLE]. Where things stand: [WHERE THINGS STAND]. Next step and when they'll hear: [NEXT STEP]. Use only these facts. Don't mention scores, other candidates, the panel's discussion or pay, don't hint at the likely outcome, and don't promise a date we haven't set. Part 1 of 2. Replace every [BLANK] with your own details.Prompt of the Day: Update a Candidate After an Interview

A visual prompt card: the email a candidate gets after an interview, with thanks, where things stand, the next step and no hint of the decision.

Prompt to copy 4 slides

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