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This page gives you everything you need to brief candidates before they enter our process. A well-prepared candidate performs better, drops out less, and reflects well on you and us, increasing our chances of success together.

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☑️ How to Prepare Candidates Per Stage

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This applies to every candidate, at every level, for every role. Numbers and clarity are what separate the strong candidates in our process.

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We are a data-driven company, and we expect candidates to speak the same language. Interviewers will probe for specifics — candidates who rely on vague or general answers will not progress.

Prepare every candidate to:

• Back everything with numbers: Growth percentages, budget sizes, timelines, user numbers, revenue impact. "I improved conversion" is not enough. "I improved conversion from 1.2% to 2.8% over 3 months by testing X" is what we expect.
• Show their specific individual impact: Not what the team did, but what they personally owned, decided, or built. Interviewers will ask "what was your role specifically?" for every example.
• Talk about achievements, not just responsibilities: What did they actually accomplish? What changed because of them? What would not have happened if they hadn't been there?
• Prepare 2–3 strong success stories: With a clear situation, their specific action, and a measurable outcome. These should be ready to use across multiple stages.
• Be honest about failures too: We value self-awareness and humility. They should also have an example of something that didn't work, what they learned, and what they'd do differently.

➡️ Before the HM Screening Call

Ask the candidate to:

• Read the Candidate Handbook
• Explore Candy.ai and YumeAI, as they should understand the product firsthand
• Be ready to speak clearly to why they want to work in this space specifically
• Prepare examples of ownership and impact: times they executed without being told what to do, made a decision under pressure, or built something from scratch

➡️ Before the Case Study / Technical Assessment

• Remind them that quality and structure matter more than speed