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Case StudyHealthcare Services·Employee Research

How a research-led engagement study found what was really driving attrition.

A 700-person healthcare company was about to spend $1.8M on a blanket pay rise. Skillfi's survey, focus groups and driver analysis showed pay was only the fifth biggest reason people left, and pointed to fixes that worked. It's how our fractional research team turns opinions into evidence.

Annual employee attrition
34%→22%
81%Survey response, up from 38%
$1.38MSaved vs a blanket raise
#5Where pay ranked as a driver
01

Everyone was sure it was pay. Nobody had asked.

More than a third of the company's people were leaving every year, and frontline roles were the worst hit. Leadership assumed the answer was money and was close to approving a $1.8M across-the-board raise.

The evidence behind that decision was thin. The annual HR survey had a 38% response rate and generic questions, so it couldn't show why people were leaving or where the problem was worst. Exit interviews were run differently at every clinic and almost never analysed. Before spending the money, the COO asked for proof.

34%annual attrition
38%response to the old survey
$1.8Mblanket raise on the table

We were about to spend $1.8 million fixing a problem we hadn't actually measured.

CEO, client
02

Ask the right people the right questions, then let the data decide.

We designed the study around the people who were leaving: frontline staff on shifts, often without a desk or a work email. The numbers told us what was happening, the conversations told us why, and the action plan was built with HR alongside a fractional CHRO.

Survey

Built for frontline staff

A confidential 42-question survey that took 8 minutes on a phone, in English and Spanish, shared by QR codes in break rooms, with anonymity guaranteed by a third party.

Listen

38 conversations, 18 months of exits

Twelve focus groups and 26 one-to-one interviews across clinics, roles and tenure, plus coding of every exit interview note from the past 18 months.

Analyse

Drivers, not just scores

Statistical driver analysis showing which factors actually predicted intent to leave, broken down by clinic, role, manager and tenure.

The Engagement

Ten weeks of research, nine months of results

From an assumption about pay to evidence-based fixes that cut attrition. Here's how the engagement unfolded.

  1. Week 1–2

    Hypotheses & survey design

    We agreed the questions leadership needed answered, then designed a survey frontline staff could finish on a break.

    42 questions
  2. Week 3–4

    Survey in the field

    Shift-friendly timing, QR codes in every clinic and reminders from clinic leads drove the highest response the company had ever seen.

    81% response
  3. Week 4–6

    Focus groups & interviews

    Conversations across every clinic, role and tenure band, run by independent researchers so people could speak freely.

    38 conversations
  4. Week 7–8

    Driver analysis

    Survey data, interview themes and exit notes combined to rank what actually predicted people leaving.

    Top 5 drivers ranked
  5. Week 9–10

    Findings & roadmap

    A board-ready report, clinic-level heatmaps and a prioritised action plan with the expected impact of each fix.

    Board-ready report
  6. Month 9

    Actions delivered

    Scheduling changes, manager coaching, a career ladder and a targeted pay fix, all tracked against the same drivers.

    22% attrition
Inside the Research Findings

What actually drove people to leave, and what fixed it

The driver analysis ranked every factor by how strongly it predicted intent to leave. The top three weren't about money at all.

Driver #1Scheduling

Unpredictable shifts

  • Last-minute shift changes
  • No say in rosters
  • Fix: schedules locked 2 weeks ahead
Driver #2Managers

Manager quality

  • 4 clinics drove 45% of exits
  • Low trust in feedback
  • Fix: coaching for clinic managers
Driver #3Growth

No career path

  • Medical assistants saw no next step
  • Skills not recognised
  • Fix: a 3-level career ladder
Driver #5Pay

Pay, in 2 roles

  • Only 5th overall
  • Below market in 2 roles
  • Fix: $420K targeted adjustment
Ongoing: Quarterly pulse surveyA short pulse each quarter tracks the same drivers by clinic and role, so leaders can see whether each fix is working and act early where it isn't.
Month 3 · Scheduling policy live Month 6 · Career ladder launched Month 9 · 22% attrition
The Results

Nine months after the study

Annual employee attrition

Before the study34%
Nine months after22%
0%25%50%75%100%

Roughly 84 fewer people leaving each year, without a blanket pay rise.

Survey response rate38%→81%
Frontline intent to stay—→+19 pts
Exits from the 4 hotspot clinics45% of all→−50%
Pay spend to fix attrition$1.8M plan→$420K
Why people leaveGuesswork→Ranked
VO

The research changed the conversation in the boardroom. We stopped arguing opinions and started fixing what our people actually told us.

VP of Operations, client
Your Turn

Guessing why your people leave?

Our fractional research team will design the study, reach the people who are hardest to hear from and show you what's really driving attrition. A fractional CHRO or fractional COO can then help you deliver the fixes.

What we'd build for you
  • A survey your frontline teams will answer
  • Focus groups & confidential interviews
  • A driver analysis by team, role & manager
  • A prioritised, costed action plan
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