Wellness follow-up that measures behavior change at 30 and 90 days. Long-term wellness outcomes by program, cohort and practitioner.
Durability is measured by re-running the same six-domain instrument at 30 and 90 days post-program, then comparing each guest's read to their arrival and departure baselines. The report shows what integrated, what reverted, and where a follow-up nudge is likely to hold – segmented by program, cohort and practitioner – so operators can see which experiences produce change that survives re-entry.
| What you learn 90 days out | Follow-up email | NPS re-send | Wakefully |
|---|---|---|---|
| Response quality | Anecdotes, self-selected | Single score | Structured read across six domains |
| Baseline to compare against | None | Departure NPS | Arrival + departure per guest |
| Segmentation | Manual sort | By stay | Program, cohort, practitioner |
| Action it produces | Testimonials | Trend line | Where to intervene, for whom, when |
The same six domains the guest read at arrival and departure are re-read at 30, 60 and 90 days. Each figure is a self-reported hold rate – the share of guests who say the shift they reported at departure still holds now.
The follow-up asks guests to re-read themselves against the same six domains they used on arrival and at departure. The guest is their own baseline; the reading is a difference the guest can see for themselves, not a score handed down.
Guests at checkout are in the best possible state to report transformation at the exact moment they are being asked to report it. That reading is valuable. It is not, by itself, a measure of whether the transformation survived ordinary life.
The question that matters more than "how do you feel right now?" is: what did you carry back? Those questions can only be answered at 30 and 90 days.
"Memory is shaped by peak and ending – not by the average of an experience."Kahneman · peak-end rule
At 30 and 90 days post-departure, Wakefully sends a light follow-up that asks guests to reflect across the six observable domains. The data shows what held, what faded, and what continued shifting after re-entry.
Aggregated across a cohort, it becomes program attribution data the property owns – which experiences created lasting movement, for which guest profiles, in which domains.
The 90-day read isn't a screen – it becomes the guest's own record of what held, delivered back to them alongside the checkout artifact they left with.
“To stop performing rest.”
“Ninety days in, the thing I thought would be hardest to keep is the thing that stayed.”
Same six-domain instrument at 30 and 90 days, reporting on what integrated — not on whether the guest liked the stay.
If you want to know what your program created three months after checkout, this is how you find out.
