Help Your Candidates Prepare for Interviews with AI-Generated Tips
You score a candidate against a vacancy. The AI says 78% match. Good alignment on skills, a gap in cloud experience. You send the candidate to the interview.
But what do you actually tell them beforehand? "Good luck, they'll probably ask about Kubernetes"?
Interview preparation tips
When the AI scores a candidate, it now generates 3 to 6 interview preparation tips alongside the usual matches and mismatches. These aren't generic advice. They're specific to the candidate and the vacancy, and they reference actual technologies, projects, and experience from the resume.
Not this: "Prepare for technical questions."
This: "Prepare to discuss your React architecture decisions at Datachain, since the role focuses on frontend architecture skills."
Or: "Be ready to explain how your Vue.js experience at Kaliber translates to React patterns, given you don't have direct React experience."
Each tip helps the candidate frame their story around what the hiring manager will care about.
Where to find them
Open any scored candidate-vacancy match. Below the score and the matches/mismatches breakdown, you'll see the tips. They're ordered by impact — most important first.
No extra button to click. No separate feature to enable. If the candidate has been scored against a vacancy, the tips are there.
Why this matters
The gap between "good match on paper" and "good interview" is coaching. Recruiters who brief candidates on what to expect, what to highlight, and how to address gaps upfront get more placements. That's not a secret — it's just preparation.
The problem is doing it at scale. If you're managing 30 candidates across 10 vacancies, writing individual briefing notes for each one isn't realistic.
Now the AI does that part. Read the tips, pick the ones that matter, forward them to your candidate. Takes 30 seconds. Might be the difference between a placement and a "thanks but we went another direction."
What the tips cover
The tips focus on three areas:
Strengthening their narrative. Where the candidate has relevant experience that might not be obvious from the raw CV. The AI spots connections between what they've done and what the vacancy asks for, and suggests how to surface those in conversation.
Addressing gaps. If the vacancy requires something the candidate doesn't have directly, the tips suggest how to frame adjacent experience instead of leaving the gap unaddressed.
Preparing concrete examples. Specific projects, metrics, or achievements from the resume that align with the job. The kind of things hiring managers love hearing about but candidates often forget to mention.
The tips are encouraging and constructive. They're preparation guidance, not a list of problems.
Tips generate automatically for every new candidate-vacancy score. Open any match and they're ready.
Related reading:
