Employee Wellbeing Consulting
The budget pays for recovery and for what makes it necessary
The pattern
Most wellbeing programmes contain a funding contradiction. On one side of the budget: a wellness app, an assistance programme, a helpline on the intranet. On the other: a management culture that reads eighty-hour weeks as commitment, and an always-on expectation nobody mandated. Remote work and hybrid working made it structural once the day lost its physical end. Your organisation funds recovery and the conditions that make recovery necessary out of the same P&L.
The numbers that bring this to a leadership team arrive filed under other headings. Absence that tracks quarter-end more closely than the season. A leave liability that keeps growing because taking leave carries a career cost. Capable internal candidates declining promotion into roles they have watched from one level down.
- 01Attrition heaviest between five and twelve years of tenure, in the population that is slowest and most expensive to replace.
- 02Senior leaders visibly working through leave and weekends, which sets the real policy whatever the written one says.
- 03First-line managers who can see the strain in their teams and hold no authority over the workload producing it.
- 04A report that takes twenty minutes to produce and two hours to check, and nobody has been given the two hours.
Why it persists
The bottom layer is bought because it is the only one that can be procured. It has a vendor, a price and a usage dashboard, so it clears in one meeting and reports in one slide. The top layer, how work is designed, has no vendor. Changing it means examining how commitments are made to customers, how staffing is set against demand, and who may renegotiate either. That conversation sits with the leaders whose targets depend on the current design.
Artificial Intelligence (AI) moved the effort from producing an answer to verifying one. Verifying is the more expensive work: holding a plausible output in mind while hunting for the reason it is wrong. No system records it, no estimate includes it, so expected throughput rises while real capacity falls and the gap lands at the first line. What that line drops in order to absorb it leaves no trace in any system. When platforms arrive faster than they can be absorbed, people perform adoption instead, and adoption figures then record the pressure to comply alongside genuine use.
First-line managers in the middle layer are asked to protect their teams and cannot add resource, move a committed date or decline scope without starting a conversation they have learned not to start. Training them to notice strain hands them none of those levers, so they absorb the gap personally.
The vendor reports usage, so uptake becomes the measure at renewal. The decisions that set workload are reviewed elsewhere, and they do not change.
If uptake is the outcome metric, rising usage can mean strain is rising too. The number moves in the same direction whether the design improved or worsened.
What the work examines
Which decisions about how work is designed and managed are producing the attrition, absence and strain in your mid-career population? The evidence is organisational: workload against staffing at team level, after-hours activity your systems record, deadline volatility, and the gap between written policy and observed practice on leave. Interviews are confidential and reported in aggregate. No individual health information is sought or held. POLIP assesses no individual, and clinical provision stays with your own qualified providers.
That establishes where strain originates as against where it surfaces: which commitments are made without reference to the capacity meant to deliver them, and which authority a first-line manager needs but does not hold. Design work then covers all three levels: work design, manager authority over pace, and support once strain has landed.
The top two layers are read on the same terms as the first line, because observed senior behaviour sets the norm, and what those patterns show goes into the report. Where the data carries no pattern, the diagnosis says so and the engagement ends there rather than being extended to find something to sell. Methodology and the outcomes the work is held to are settled in scoping.
Where this shows up in the business
- Day to dayDates get renegotiated earlierWhere authority over sequence and date is defined, a deadline that cannot be met is raised early rather than absorbed for weeks.
- Over a yearThe numbers your board already readsRegrettable attrition in the tenure bands slowest and most expensive to replace, with replacement cost beside it. Absence and unplanned leave. Leave liability on the balance sheet. Internal fill rate where capable candidates had been declining moves. Agreed at the start rather than assembled at the end.
- Over several yearsThe first line stops exporting strain upwardWhen demand is designed against real capacity and the first line holds authority over pace, span of control becomes a design decision. The mid-career population stays long enough to be promoted, and you stop rebuying experience you already had.
None of those figures is a promised result, and POLIP publishes no client numbers. A diagnosis establishes which design decisions are generating the cost. It leaves you able to show a board, or an acquirer's diligence team, that you examined how work is designed rather than how many people downloaded an app.
Common questions
Is this an employee assistance programme?
No. An assistance programme is one component, the third level, and most organisations already have one. POLIP provides no counselling, clinical services or individual support of any kind, and assesses no individuals.
This is consulting to an employer about system design: how workload is created, what authority first-line managers hold over pace, and whether the support you already pay for is reachable and trusted. Where clinical provision is needed, that stays with your qualified providers.
Our survey does not flag wellbeing. Why should we act, and does remote work change the answer?
Your survey measures sentiment accurately, among the people present and willing to answer, which is what a survey is built to do. Strain also shows up in the operational data your own systems already hold: rosters, hours, leave balances and attrition records. Remote work shifts where that strain surfaces rather than how much of it the design produces. Where AI has entered the workflow, the test is whether verification time was ever added to anyone's capacity.
If that data shows no pattern, POLIP will say so. A wellbeing mandate with no evidence behind it is a budget line rather than a business case.
How is confidentiality handled?
Interviews are confidential, and findings are reported in aggregate only, with thresholds set so no individual or small team is identifiable. No individual health information is sought, recorded or passed to you, and nothing asks anyone to disclose a personal condition.
The material POLIP works with is organisational: rosters, staffing against demand, leave and attrition records, and policy against observed practice.
Our managers are already stretched. Does this add to their load?
It should reduce it. Much of what sits on a first-line manager is arbitration created upstream: renegotiating dates they were never consulted on and absorbing scope nobody resourced. Clarifying authority and fixing how demand is set removes work from that role rather than adding to it.
Where new capability is needed, it is built into the forums and rhythms managers already run, not delivered as an additional programme they must find time for.
Start with how the work is designed
Bring attrition by tenure band, absence and leave-balance data, and the working-hours pattern of your top two layers. Reading those against each other is where it starts.