Manu's Vault

Extended-Hiring-Funnel

4 min readStatus:Seedling

Most engineering organisations optimise intensively for the four pre-hire stages of the Hiring-Funnel (Identify → Motivate → Evaluate → Close) and then disengage — losing much of the value they worked hard to create. Will Larson’s extended hiring funnel adds four post-hire stages that treat the full employee lifecycle as a continuous pipeline.

The Four Extended Stages

5. Onboard

  • Goal: reach full independent contribution as quickly as possible
  • Success metric: meaningful output within 90–180 days
  • What works: structured day-1/week-1/month-1 plan; clear first project with defined success criteria; explicit social integration
  • Common failure: onboarding is a single day of HR paperwork; the new hire is expected to self-navigate
  • Fix: hiring manager invests 20–30% of their time in the first 90 days

6. Impact

  • Goal: sustain meaningful contribution at or above the hired level
  • Success metric: consistent delivery; manager can delegate confidently
  • What works: clear goals, regular feedback, psychological safety to ask questions and make decisions
  • Common failure: manager disengages after onboarding; no feedback until annual review
  • Fix: maintain intentional management intensity throughout the first year

7. Promote

  • Goal: recognise growth and advance people at the right time
  • Success metric: designations update on merit, not just availability of budget or tenure
  • What works: criteria communicated in advance; evidence gathered continuously; calibration ensures fairness
  • Common failure: Designation-Momentum delays recognition; employees are held at a level too long
  • Fix: explicit, ongoing conversations about growth timelines — don’t rely on the annual cycle

8. Retain

  • Goal: keep high performers from leaving voluntarily
  • Success metric: voluntary attrition rate among high-performers vs. industry baseline
  • What drives retention: interesting work, growth, good management, competitive pay, cultural fit
  • Common failure: retention investment only happens after someone announces they’re leaving — typically too late
  • Fix: proactive retention conversations; use the Four-States-of-a-Team model to identify people stuck in “Treading Water”

Why Post-Hire Stages Are Neglected

  • Pre-hire stages have clear milestones and short feedback loops (offer accepted = success)
  • Post-hire stages are slow-feedback and diffuse — problems surface months or years later
  • The result: the Performance-Management-System and development work that drives impact and retention receives under-investment

Retention as a Design Problem

The cost of losing a high performer 18 months after hiring typically exceeds the cost of a failed hire. Research from the Center for American Progress estimates turnover costs range from 16% of annual salary for lower-skilled roles to over 200% for highly-specialised technical positions. Gallup places the average replacement cost at 1.5–2× annual salary.

This reframes retention as a design problem (build systems that sustain good people) rather than a rescue operation (react when they threaten to leave).

Sources

  • Larson, Will (2019). An Elegant Puzzle: Systems of Engineering Management. Stripe Press. ISBN: 978-1-7322651-8-9.

    • Chapter 6.4: Extended hiring funnel stages and the cost of post-hire neglect

  • Wanous, John P. (1992). Organizational Entry: Recruitment, Selection, Orientation, and Socialization of Newcomers. 2nd ed. Addison-Wesley. ISBN: 978-0-201-51597-9.

    • Foundational academic treatment of organisational entry and new-hire socialisation processes

  • Boushey, Heather and Sarah Jane Glynn (2012). “There Are Significant Business Costs to Replacing Employees.” Center for American Progress.

  • Gallup (2019). “This Fixable Problem Costs U.S. Businesses $1 Trillion.” Gallup Workplace.

  • Bauer, Talya N. (2010). “Onboarding New Employees: Maximizing Success.” SHRM Foundation’s Effective Practice Guidelines Series. Society for Human Resource Management Foundation.

Note

This content was drafted with assistance from AI tools for research, organization, and initial content generation. All final content has been reviewed, fact-checked, and edited by the author to ensure accuracy and alignment with the author’s intentions and perspective.

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