Proof

30 & 90-Day Durability
post-retreat outcomes

Wellness follow-up that measures behavior change at 30 and 90 days. Long-term wellness outcomes by program, cohort and practitioner.

  • Post-retreat outcomes
  • Wellness follow-up
  • Behavior change measurement
  • Long-term wellness outcomes
The short answer

How is durability measured after a wellness program?

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.

How teams usually try to measure what held

Follow-up email vs. NPS re-send vs. Wakefully durability report

What you learn 90 days outFollow-up emailNPS re-sendWakefully
Response qualityAnecdotes, self-selectedSingle scoreStructured read across six domains
Baseline to compare againstNoneDeparture NPSArrival + departure per guest
SegmentationManual sortBy stayProgram, cohort, practitioner
Action it producesTestimonialsTrend lineWhere to intervene, for whom, when
The measurement gap

What the program already measures – and what it doesn't.

What the program can already measure
  • Biomarkers
  • Sleep & recovery data
  • Training & performance metrics
  • Coaching attendance
  • Protocol adherence
What remains hard to measure – until now
  • Whether change holds after re-entry
  • Whether the behavior became part of how they live
  • Which intervention actually drove transformation
  • Who is at risk before disengagement appears
  • Whether new routines survive 30 / 60 / 90 days
Day 30
First durability check
Re-entry has begun
Day 90
Integration check
What actually held
3 cuts
Program · cohort · practitioner
Reporting depth
Durability brief · 30 / 60 / 90 days

What holds after re-entry – read three times, in the guest's own frame.

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.

First durability check

Day 30

Re-entry has begun
  • Emotion
    84%
    holding
  • Insight
    88%
    holding
  • Meaning
    86%
    holding
  • Relationship
    79%
    consolidating
  • Identity
    81%
    consolidating
  • Behavior
    74%
    consolidating
n = 24 guests · cohort Q2 · self-reported hold rate
Consolidation check

Day 60

What is settling in
  • Emotion
    76%
    consolidating
  • Insight
    83%
    holding
  • Meaning
    82%
    holding
  • Relationship
    70%
    softening
  • Identity
    74%
    consolidating
  • Behavior
    65%
    softening
n = 24 guests · cohort Q2 · self-reported hold rate
Integration check

Day 90

What actually held
  • Emotion
    71%
    softening
  • Insight
    80%
    consolidating
  • Meaning
    79%
    consolidating
  • Relationship
    66%
    softening
  • Identity
    70%
    softening
  • Behavior
    58%
    re-integrating
n = 24 guests · cohort Q2 · self-reported hold rate
Six-domain arc · 30 → 60 → 90
Sample cohort · illustrative
Emotion
71%
306090
Insight
80%
306090
Meaning
79%
306090
Relationship
66%
306090
Identity
70%
306090
Behavior
58%
306090
What holds after re-entry

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.

  • The guest still reads the same shift they reported at departure.
  • The shift is described in the guest's own language, not through a scored screen.
  • The reading is voluntary. Non-response is reported as non-response, never extrapolated.
Why it's proofable
  • The same instrument runs at arrival, departure, 30, 60 and 90 days – the delta is like-for-like.
  • Every reading is timestamped and tied to the guest's own arrival baseline.
  • Cohort figures are aggregated from individual holds – they can be re-derived from the underlying records at any time.
  • The property owns the data and the methodology. Nothing is proprietary black-box scoring.
What we don't claim
  • Not a clinical outcome measure · not a diagnostic instrument.
  • Not a promise that every guest holds every shift · attrition is expected and reported.
  • Not causal proof · the reading describes what guests report, not why.

Post-retreat outcomes, measured where they matter

Checkout day is one of the highest-leverage moments in any premium wellness experience. The guest has lived through something real. They are lighter, clearer, more open. They hug the practitioner, they say they'll be back, they mean it.

Three months later, the program team has no idea whether any of it held.

This is the re-entry problem. The nervous system normalizes. Ordinary life reasserts the patterns the retreat was designed to interrupt. Hedonic adaptation is documented, well-researched, and entirely predictable. The wellness industry still does not have a systematic response to it.

Why checkout is too early to know

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

Cohort-level behavior change, by domain

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.

EMOTIONINSIGHTMEANINGRELATIONSHIPIDENTITYBEHAVIOR90dWHAT HELD
ArrivalAt 90 days
Sample · illustrative
Departure record · The property
For: A. Rivers21–28 May 2026
Intention set at arrival

To stop performing rest.

Six domains · arrival → departure
  • Emotionsoftened
  • Insightclarified
  • Meaningwidened
  • Relationshipsteadied
  • Identityre-seen
  • Behaviorre-aligned
In your own words

Ninety days in, the thing I thought would be hardest to keep is the thing that stayed.

90-day durability read · what held, what didn't
The readThe artifactThe guest keeps the arc

The commercial case for long-term wellness outcomes

A guest who can point to something that visibly changed in their life ninety days after their stay has a different story about the program, and a different reason to return. The rebooking conversation starts from evidence of something that held – not the memory of a pleasant week.

The checkout brief and the 90-day follow-up form the transformation arc the guest keeps.

What it looks like

Program, cohort, and practitioner-level re-read.

Same six-domain instrument at 30 and 90 days, reporting on what integrated — not on whether the guest liked the stay.

See the surface

If you want to know what your program created three months after checkout, this is how you find out.