Spend less time on process and more time on people.
Get the Talent Management briefIn 2026, AI is taking over much of the repetitive work in talent management, like drafting job descriptions, summarizing candidate interviews, and analyzing engagement survey results. It also helps map skills across teams and flag retention risks earlier by spotting patterns in performance and turnover data. The result is more time for coaching managers, designing career paths, and handling sensitive conversations.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Write a job description for a [job title] at a [company size and industry] company. Include responsibilities, required skills, nice-to-have skills, and an inclusive tone. Keep it under [word count] words.Create 8 behavioral interview questions to assess [competency, e.g., leadership and collaboration] for a [role]. For each question, include what a strong answer looks like.Here are open-text responses from our engagement survey: [paste responses]. Group them into themes, rank by frequency, and suggest 3 actions leadership could take.Build a 6-month development plan for an employee moving from [current role] to [target role]. Include skill gaps, learning activities, milestones, and check-in points.Given this team data [paste anonymized factors like tenure, recent promotion, performance trend], identify which factors most suggest retention risk and recommend retention conversations to prioritize.The full library of tools, prompts, and tricks for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
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