The questions business analysts actually get asked — with STAR-structured sample answers you can rewrite in your voice. Practice the rooms before you're in them.
I separate the stated ask from the underlying problem — interviews and a workshop to surface the real outcome each stakeholder needs. I document conflicts explicitly, propose options with trade-offs, and drive a decision with the sponsor rather than averaging everyone. On an order-management migration this got me a signed-off BRD that cut post-launch change requests 70%.
Quantify the current cost of the problem (time, errors, lost revenue), define the target state and its benefit, then build a payback model — cost, time-to-value, and a sensitivity range. I include the risks and a do-nothing baseline. I won my last $1.2M automation case in one review because the payback and the risk analysis were both explicit.
Functional = what the system must do (a user can submit a claim). Non-functional = how well it must do it (response under 2s, 99.9% uptime, GDPR-compliant). Missing non-functionals is where projects quietly fail UAT, so I capture both with measurable acceptance criteria.
S: A 'simple reporting' request kept growing each sprint. T: Control scope without blocking value. A: I converted the ask into a prioritized backlog with explicit acceptance criteria, set a change-control process, and parked extras into phase 2 with the sponsor's sign-off. R: We shipped the core on time; the parked items became a funded phase 2 instead of silent scope creep.
As-a / I-want / so-that for the intent, plus testable acceptance criteria in given/when/then. It should be independent, small enough to ship in a sprint, and tied to a measurable outcome. I avoid stories that are really specs — the criteria, not the prose, are what dev and QA build against.
I write test cases from the acceptance criteria, recruit real end-users (not just the project team), and triage defects by severity × frequency against go-live risk. On a 240-user Salesforce rollout I wrote 180 cases and the triage caught issues that would otherwise have slipped go-live.
I get specific — is it the constraint, the timeline, or the approach? Then I go back to the business outcome and explore alternatives that meet the intent at lower cost. Often the original 'requirement' was one solution to a problem, and there's a cheaper one. I document the decision so it isn't relitigated.
I define the success metric before delivery — cycle time, error rate, cost, adoption — and baseline it. After go-live I measure against that baseline. The process re-engineering I led cut claims cycle time from 9 days to 4; that number, not the BRD page count, is how I judge the work.
Every strong behavioral answer follows the same four-part structure: Situation(the context — 2 sentences), Task (what success looked like — 1 sentence),Action (what you actually did, 3-5 specific steps), and Result(the measurable outcome). Most candidates over-invest in Situation and under-invest in Result. The Result is where the interviewer scores you.
Voice or text. Per-answer STAR scoring. Saved across devices.
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