Playbooks·HR / People·Professional Services·HR04

Interview Prep (Questions & Guides)

Convert approved role requirements into structured interview questions, evaluation rubrics, and interviewer guides.

GenAI impact

What this playbook delivers

Projected against the same workflow run manually, end to end

49%
Faster than the manual baseline
~2.6hrs
Saved per cycle
3
Source-of-truth artifacts

Estimated impact based on 1 role with 3 interview panels and 5 criteria · Real savings vary with team volume and current process maturity

The challenge

Why the workflow breaks

Three patterns show up across teams using GenAI without a shared workflow

Question drift

Interviewers often create questions from memory, so candidates are tested on different criteria across the same process.

Vague scoring

Rubrics with broad labels leave too much room for subjective interpretation after the interview is complete.

Interviewer inconsistency

Without shared guidance, interviewers probe, record, and escalate concerns in different ways.

Where GenAI helps

From confused intake to source-of-truth artifacts

Here’s what changes when the team uses this playbook

  • Questions are written interview by interview

    Approved Question Bank maps to must-have criteria

  • Scorecards rely on vague rating labels

    Draft Evaluation Rubric defines observable indicators

  • Interviewers improvise follow-up probes

    Draft Interviewer Guidance standardizes probes and cautions

  • Each panel runs a different process

    Structured Interview Guides align the full package

How the playbook works

3 phases, one source of truth

Each phase produces an artifact the next phase builds on

1

Generate questions

AI drafts a question bank from the must-have criteria, keeping each question tied to role evidence rather than interviewer preference.

2

Define rubric

The workflow creates a Draft Evaluation Rubric and interviewer guidance with observable signals and review cautions.

3

Compile guides

Approved questions, rubrics, and guidance become Structured Interview Guides for consistent use across the panel.

What you’ll produce

Sample artifacts from the workflow

Interim and final deliverables you can review and download

Approved Question Bank

Criterion-mapped interview questions with evidence prompts and "what good looks like" indicators, refined for panel use before rubric design.

AiOS · HR04 · Step 1
Download Sample PDF

Draft Evaluation Rubric

Strong/Partial/Weak scoring guide for each interview question, translating role criteria into observable evidence standards.

AiOS · HR04 · Step 2
Download Sample PDF

Structured Interview Guides

Final interviewer packet with role criteria, question bank, Strong/Partial/Weak rubric, and guidance in one format-consistent package.

AiOS · HR04 · Step 4
Download Sample PDF

Built into the workflow

Quality and risk checks at every step

Verification, data handling, and definition-of-done rules are part of the playbook — not afterthoughts

Quality

Criterion-mapped question generation with structured Strong/Partial/Weak rubrics ensures all three interview panels evaluate candidates against identical evidence standards, eliminating scoring drift between interviewers.

Risk handling

Governed prompts with source-faithful constraints prevent introduction of unapproved evaluation criteria, while data-handling guardrails block exposure of confidential role requirements to public GenAI tools.

LIVE ONLINE LABS

Join a live Lab for this workflow

An AGASI expert runs your team through the Interview Prep (Questions & Guides) workflow on your own real work — so you leave with the method, not a recording.

  • Built around this exact playbook

    You internalise the method, not a recording.

  • Facilitated by an AGASI expert

    Live online coaching on prompts, verification, and where the workflow tends to break.

  • Public or private formats

    Join an open public Lab, or bring it in-house for your team.

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Run the Interview Prep (Questions & Guides) playbook

Step-by-step prompts, role guidance, data-handling notes, and definition-of-done checks for every step of the workflow