Enhancing Employee Surveys with MaxDiff Prioritization
Not all employee issues drive retention.
A company conducted an employee satisfaction survey covering multiple dimensions: compensation, work-life balance, management, career development, company culture, benefits, flexibility, and recognition. Employees rated each aspect on a 1-to-5 scale.
The results showed moderate variation, but no clear direction for action.
Even with detailed scores, all criteria appear similarly important — HR teams have no way to distinguish the factors that truly drive retention from those that are merely nice to have.
All issues seem important — but not all of them drive retention.
We added a MaxDiff module at the end of the employee survey. Employees were asked to repeatedly choose which factors matter most and least when deciding to stay in a company.
This generated a clear and robust ranking of retention drivers — without changing the rest of the survey.
This adds a missing layer: what truly drives employees' decisions to stay or leave.
This case study is a composite illustration based on typical employee satisfaction + MaxDiff projects. The data has been crafted to clearly demonstrate the methodology and its benefits.
The MaxDiff module adds only 2–3 minutes to your existing employee survey.
Satisfaction alone doesn't tell the full story
Retention Importance:
Combining satisfaction and retention importance to identify where to focus
The Priority Matrix reveals which factors need immediate attention. Factors in the top-left quadrant (high importance, low satisfaction) represent the biggest opportunities to improve retention.
Relationship with manager is the #1 retention driver but only moderately rated (3.6) — a critical priority that demands immediate action.
Recognition for work ranks #2 in importance but underperforms in satisfaction (3.3) — a major retention risk requiring investment.
Salary is not #1 — contrary to common belief. And job security scores very high in satisfaction but ranks low in importance.
With clear priorities in hand, the company focused on improving management quality, invested in career development programs, and introduced recognition initiatives — instead of increasing salaries blindly or expanding benefits unnecessarily.
Satisfaction = how employees feel. MaxDiff = what drives their decisions.
Together → a retention-focused strategy.
Employees don't leave because of everything — they leave because of a few key drivers.
MaxDiff transforms scattered employee satisfaction data into a clear, retention-focused action plan — helping you invest where the impact on retention is greatest.
Add a MaxDiff module to your next employee survey and identify what truly drives retention.
Typical setup: 10–15 factors · 200–500 employees · Results in 3–5 days
Run a Similar Study