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Every candidate gets an overall score and a “bottom line” statement.

72/100: Strong senior-level contributor for a part-time contract who will add immediate value in research-led iteration, accessibility, design systems, and stakeholder alignment, with manageable gaps in domain (climate/0→1) and explicit funnel/behavior-change metrics.

If nothing else, this should give you an immediate “pass or proceed” vision of the applicant.

Of course, you want more information. Here’s the high-level information we provide about each candidate

Full Example Spreadsheet:

Eco-Company - Senior Product Designer Part-Time

(Note that the AI-detection work is still being tested internally, but Ilse considers it ready-enough that we can definitely launch it for a single client. We will be manually reviewing any and all AI assessments, don’t worry!)

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Interview Prep - Individualized Per Applicant

We can provide high-level overview interview help … or 70+ pages of analysis + example questions per user.

Here’s an example for the “deep analysis” for a Lead Strategic Pricing Analyst position and the responsibility “Pricing strategy ownership”

We think this level of detail is only helpful in two scenarios:

1. When the people performing the interviews aren’t experienced
2. If the company needs a particularly rigorous or standardized interview process.

Pricing strategy ownership

ExampleTechCompany requires this responsibility to ensure the company's diverse product portfolio is optimally monetized, stays competitive, and delivers sustainable revenue and customer value in fast-evolving SaaS and AI markets.

🎯 Personalized questions for EXAMPLE USER

AI Reasoning & Interview Plan

Example User's resume demonstrates strong analytical, financial modeling, and pricing strategy skills in complex, regulated and multi-product environments (EDF, ADENE, OLX). She has clearly partnered cross-functionally and delivered actionable pricing analytics. However, she hasn’t explicitly owned SaaS/PaaS pricing, nor end-to-end monetization strategies within a low-code or AI-enabled multi-product platform context.

The questions therefore must:

1. Probe her ability and readiness to move from analytics-driven influence into final ownership of pricing and packaging decisions, especially for SaaS/PaaS portfolios.
2. Elicit examples where she iterated on pricing strategies, not just supported them analytically, especially in contexts analogous to SaaS.
3. Explore how she’s led cross-functional, end-to-end pricing/packaging initiatives in other sectors, including her regulatory experience.
4. Assess her comfort with ambiguity and product ownership, given her analytics background and sector transitions.
5. Tap into her proven strengths in financial modeling, value-based analysis, and revenue-impact assessment to see how she’d adapt these to ExampleTechCompany’ context. The tailored questions below aim to:
   1. Address her experience gap (no direct SaaS/PaaS pricing ownership), by allowing her to narrate analogous experiences and outline how she'd bridge industry/context gaps.
   2. Give opportunity to describe any strategic project where she had to lead, iterate, and own outcomes on monetization, even if in non-SaaS settings.
   3. Assess thought process and leadership in cross-functional settings for developing/refining pricing strategies and responding to market/competitive signals, rather than just analyzing data.
   4. Elicit scenarios of strategic decision-making in ambiguous and evolving commercial or tech contexts, indicative of readiness for the Lead Pricing Analyst role at ExampleTechCompany.

Tailored Interview Questions

Based on EXAMPLE USER's background and resume analysis