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Recruitment systems that fill seats with people who stay.

The fastest way to kill a canvass program is bad recruitment. Hiring for volume without screening for fit creates churn at the source. We design recruitment systems with funnel benchmarks, sourcing strategy, screening criteria, and interview processes that predict retention.

The Problem

Recruitment in F2F fundraising is treated as a volume problem. Post ads, fill seats, hope. The result is 50%+ attrition in the first month. We design systems that treat recruitment as the first retention lever: sourcing strategy that reaches the right candidates, screening that predicts success, and onboarding handoffs that don't drop people.

Who It's For

  • Programs with first-month attrition above 40%
  • Sites that can never fill their roster
  • Programs expanding to new markets
  • In-house programs building recruitment infrastructure for the first time

What We Deliver

  • Recruitment funnel design with stage benchmarks (65-75% auto-schedule, 50%+ interview show rate, 80%+ orientation day show rate)
  • Sourcing channel strategy
  • Screening criteria tied to retention predictors
  • Interview process and scoring rubric
  • Onboarding handoff protocol
  • Recruitment KPI dashboard template

Outcomes

  • Lower first-month attrition
  • Consistent pipeline of qualified candidates
  • Recruitment that feeds retention instead of fighting it
  • Scalable process that works across sites

Timeline

4-8 weeks.

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FAQ

What benchmarks do you use?

We use validated funnel benchmarks from managing recruitment across 17 offices: 65-75% auto-schedule rate, 50%+ interview show rate, 80%+ orientation day show rate.

Does this work for vendor recruitment too?

Yes. Vendor programs with recruitment problems have retention problems. The system applies regardless of employment model.

Do you help with sourcing?

We design the sourcing strategy and channel mix. Execution is yours or your vendor's, but we build it to be measurable.

Ready to build a recruitment system that works?

Let's design for retention from the first application.

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