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In this May 2025 live interview, Shally Steckerl reconnects with former Cisco recruiter Dart Lindsley to trace his unconventional career—from criminal‑defense investigator to sourcer, recruiter, business‑architecture leader, and now CEO of 11Fold, a firm that treats work itself as a product. They recount the early 2000s “recruiter apocalypse” at Cisco, the fallout from the dot‑com bust and the Ariba procurement failure that left the company holding unsold hardware. Dart explains how traditional talent models view employees merely as inputs to production, a view that creates the “working dead” – disengaged, zombie‑like workers who punch time cards but find no meaning in their jobs. He proposes a radical reframing: employees are customers of a work‑product, and jobs should be designed using Jobs‑to‑Be‑Done (JTBD) research to surface the diverse, deeply personal outcomes people seek from work (money, family, puzzles, legacy, stage, independence, etc.). To operationalize this, Dart’s 11Fold offers simple need‑finding templates and an allocation spreadsheet that lets teams track how attention is split across business‑critical, team‑strength, and personally rewarding work, flagging yellow/red alerts and measuring time‑to‑resolution. He argues that managers must shift from control to orchestration, becoming brokers who co‑design work experiences and allocate tasks based on individual motivations. This requires a business‑model transformation from a single‑sided pipeline to a multi‑sided platform (like Uber) where both the employee‑customer and the external customer must be satisfied. Traditional HR artifacts—job codes, skills taxonomies, compensation‑only job architectures—are inadequate; instead, work should be described like a product spec with reviews and experiential details. Metrics move from lagging turnover to leading indicators such as work‑product health scores, earned revenue (repeat “purchases” of a job), and employee NPS. Looking ahead, Dart envisions a dedicated Work‑Experience function reporting to the CEO, responsible for removing restrictive rules (e.g., three‑year job‑move limits) and enabling teams to iterate on work design at scale. The conversation ends with suggestions for future guests and a brief discussion of AI and product‑management thought leaders.

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