Generative AI for Interviewing: Structured, Fairer Interviews with Microsoft 365 Copilot

Short version: The interview is the one hiring step almost nobody is trained for, and unstructured interviews are notoriously poor predictors of who will do the job well. Generative AI fixes the structure problem cheaply: give Microsoft 365 Copilot the job description and competency framework that already live on SharePoint, and it will produce a role-specific interview plan, behavioural and technical questions by seniority, a scoring rubric in Excel, follow-up probes during the interview, and an evidence-based summary afterwards from your Teams notes. What it must never do is decide. This guide shows how to use Copilot across the hiring loop, how to keep it fair and compliant in Singapore, and where a Copilot Studio “interview kit” agent takes the load off HR. The hands-on version is the one-day WSQ Generative AI for Interviewing course (TGS-2024051421), funded up to 70%.

Why most interviews are unstructured, and why it matters

A structured interview asks every candidate for a role the same job-related questions, scores the answers against the same criteria, and records the evidence. It is fairer, more defensible and better at predicting performance than the conversational interview most managers actually run. The reason managers do not run structured interviews is not that they disagree; it is that preparing one properly — analysing the role, writing eight good questions, defining what a strong answer looks like — takes two hours they do not have before a 3pm slot. That preparation is exactly the kind of drafting-from-source work that generative AI does well, which is why the course starts there rather than with clever prompts.

Copilot across the hiring loop

The power of Microsoft 365 Copilot in recruitment is that it is grounded on your own hiring documents through Microsoft Graph — the job description on SharePoint, the competency framework, the interview notes in Teams, the scheduling thread in Outlook — with existing permissions respected, as Microsoft’s documentation describes. Nothing has to be pasted into a public chatbot, which removes the candidate-data risk at the same time as it removes the copy-paste.

The right-hand column is the whole point. Copilot prepares and organises; the interviewer observes, probes, judges and decides. If you have read our guide to Copilot Studio agents or the Microsoft 365 Copilot productivity course outline, you will recognise the same division of labour.

Three prompts that do most of the work

Good interview prompts have the same four parts as any good Copilot prompt: goal, context, source and format. The source is what makes them role-specific instead of generic, so reference the actual files.

1. Question bank by competency and seniority

Using /Senior Data Analyst JD and /Analytics competency framework,
generate an interview question bank for a senior-level candidate.
For each of the six competencies give: two behavioural questions (past
experience), one situational question (hypothetical), and two
follow-up probes to use if the answer is vague.
Add three technical questions on SQL and dashboard design.
Exclude anything not related to the job requirements.
Format as a table: competency | question type | question | probes.

2. Scoring rubric

From the same competency framework, create a scoring rubric for this
role. For each competency, write anchors for scores 1, 3 and 5
describing the evidence a weak, adequate and strong answer would
contain. Keep anchors observable and job-related. Output as a table
I can paste into Excel with a column for interviewer notes.

3. Evidence-based summary after the interview

Using /Interview notes - Candidate B (Teams recap) and the rubric,
summarise the evidence for each competency in two sentences, quoting
the candidate's own examples. Flag any competency where no evidence
was gathered so I can follow up. Do not give an overall score or a
hiring recommendation; I will do that.

Notice the last two lines of the third prompt. Instructing Copilot not to recommend is deliberate: it keeps the judgement with the person accountable for it, and it prevents an AI summary from anchoring the panel before they have compared notes.

A Copilot Studio “interview kit” agent for hiring managers

Once HR has done this well a few times, the next step is to stop doing it by hand. A Copilot Studio agent grounded on the SharePoint library that holds your job descriptions, competency framework, interview guide and fair-hiring policy can serve every hiring manager in Teams: “prepare an interview kit for the Marketing Executive role, mid-level” returns the plan, the question bank and the rubric in the house format, and “what am I not allowed to ask?” returns the policy, cited. Because it is grounded on a SharePoint knowledge source, the questions reflect your competency language, not a generic internet list, and when HR updates the framework every manager’s kit updates with it. A single Power Automate flow can file the completed rubric into the requisition folder so the evidence trail is kept without anyone remembering to do it.

Keeping it fair, and legal, in Singapore

Structured interviews are already a fairness tool; generative AI only helps if it is used inside the same guardrails. Topic one of the course is titled “responsible interview planning” for a reason.

• Job-related questions only. The Fair Consideration Framework and the Tripartite Guidelines on Fair Employment Practices expect selection to be based on merit and job requirements. Instruct Copilot to exclude questions on age, race, religion, marital status, family plans and nationality, and review every generated question against that rule before it reaches the room.
• Bias awareness. A model trained on the internet can reproduce stereotyped assumptions. Ask it to check its own question bank for assumptions, then have a second person review. The rubric’s observable anchors are your best defence, because they force the panel to score evidence rather than impressions.
• Candidate privacy and PDPA. Interview notes and transcripts are personal data under the Personal Data Protection Act. Keep them inside Microsoft 365, never in a public chatbot; tell candidates if the interview is being transcribed; retain notes only as long as your policy allows.
• Human oversight, always. AI-generated outputs are drafts. The interviewer verifies that summaries are accurate, that nothing was invented, and that the recommendation is theirs. No shortlisting, ranking or rejection is automated.
• Consistency. The same question set and rubric for every candidate in a round, which is easier to achieve with an agent that serves the same kit to every panel member than with a Word document someone edits.

Handled this way, generative AI makes the interview more defensible than the unstructured conversation it replaces, because the evidence for the decision is written down against job-related criteria for every candidate.

The human skills the course still teaches

A structured plan does not run itself. Topic three of the course is about the interviewer: active listening, probing a thin answer without leading, taking notes that record evidence rather than adjectives, evaluating responses against the rubric, and delivering constructive feedback to candidates who were not selected. Copilot can suggest the probe; only a person can hear the hesitation that prompted it. The course treats AI as the tool that frees interviewers to do that human work well, which is why it is short — one day — and why it is suitable for hiring managers who have never had interview training as much as for HR.

Learn it hands-on, funded up to 70%

The WSQ – Generative AI for Interviewing course (TGS-2024051421) is a one-day programme for HR professionals, hiring managers and business leaders. Its three topics:

1. Responsible interview planning and preparation with generative AI — defining objectives, analysing job requirements, developing a structured plan, and the fairness, privacy and compliance rules that frame it.
2. Creating structured and role-specific interview questions with generative AI — behavioural, situational, competency-based and technical questions by role and seniority, consistent evaluation criteria and scoring rubrics, and follow-up questions.
3. Candidate response evaluation, interview feedback and hiring decisions — summarising notes, comparing candidates against job-related criteria, identifying information gaps, evidence-based recommendations and constructive feedback, with human oversight throughout.

Learners build a complete interview kit for a real role from their own organisation during the day. Assessment is a written and a practical exam. Evening (two half-sessions) and weekend runs are scheduled alongside weekday dates.

The nett fee can be further offset with SkillsFuture Credit for eligible Singaporeans, PSEA for eligible younger learners, and SkillsFuture Enterprise Credit (SFEC) for eligible Singapore-registered companies; employer-sponsored SMEs can also claim absentee payroll. The course runs over one day (or two evening sessions), with physical classroom and synchronous online (Zoom) options. Figures are taken from the course page at the time of writing — the live page always carries the current fee and the next available dates.

Pair it with WSQ Agentic AI for HR to build the HR agents that serve the kit, or browse the full AI for HR course list.

Frequently asked questions

The bottom line

The interview is where hiring decisions are actually made, and it is the step with the least preparation behind it. Generative AI, and Microsoft 365 Copilot in particular because it is grounded on the job descriptions and notes you already keep, removes the two hours of preparation that stood between a manager and a structured interview. Keep the questions job-related, the data inside your tenant, and the decision with the interviewer, and you get interviews that are faster to prepare, fairer to candidates and easier to defend.

Ready to run better interviews? Register for WSQ – Generative AI for Interviewing — 1 day, funded up to 70%, SkillsFuture Credit claimable.