Company Context

TalentMatch is a Series B recruiting software company serving 1,200 mid-market employers. Its core product helps hiring teams screen applicants, rank candidates, and move faster on high-volume roles. The company sells annual SaaS contracts and competes on workflow simplicity rather than deep technical customization.

Problem

TalentMatch recently launched a new candidate-ranking model that improves recruiter shortlist quality by 18% in offline testing and reduces manual review time by 22% in pilot accounts. However, several enterprise customers are hesitant to expand usage because HR leaders and procurement stakeholders do not understand how the model works, what signals it uses, or how to evaluate fairness and reliability.

Your Head of Product asks you to prepare for an executive review with a large customer considering a 3-year expansion deal worth $4.5M. The audience includes the customer's CHRO, Head of Recruiting Operations, legal counsel, and an HR systems manager. They are non-technical but need enough confidence to approve rollout. You must explain the model clearly, address concerns, and recommend what product or communication changes TalentMatch should prioritize to improve trust and adoption.

Deliverables

1. Identify the key stakeholder segments in this meeting and the distinct job each is trying to get done.
2. Explain how you would translate the technical concept of AI candidate ranking into language a non-technical audience can understand.
3. Recommend the product artifacts, UX elements, or features you would prioritize to build trust and support decision-making.
4. Define how you would handle likely objections around bias, accuracy, and accountability.
5. Propose success metrics to determine whether your explanation and product changes improved adoption.

Constraints

• You have 6 weeks to prepare and ship any lightweight product or UX changes before the renewal decision.
• Only 1 designer and 3 engineers are available; the core model cannot be retrained in this window.
• Legal will not allow disclosure of proprietary model weights or vendor-sensitive implementation details.
• Any solution must avoid increasing recruiter workflow time by more than 30 seconds per candidate review.