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Replay mode.No model API key is configured, so the assistant’s wording is replayed from recorded transcripts.Every figure on this site is computed and verified live from the dataset.What that means

Windermere Hills Country Club

What changed, and what to do about it

Detected findings across 420 members and 110,004 activity records covering 1 Sep 2024 to 31 Aug 2026. Every figure below opens onto the rows it came from.

Feed status

6 insights detected

1 critical · 5 other

Headline figures

Active members

On the roll today, excluding resigned and suspended.

member_count · status: active

Dues at risk

Annual dues held by members scored elevated or worse.

dues_at_risk · band: elevated

Revenue, last 90 days

3 Jun 2026 to 31 Aug 2026, all categories.

revenue_total · from / to

Elevated and critical

Active members the churn model has genuine concern about.

churn_cohort_size · band: elevated

Detected insights

Deterministic detectors, not a model asked to find something

  1. Critical

    revenue    Verified4 figures recomputed

    Dining revenue is in sustained decline

    Dining took over the last six months against in the equal window before it, a move of . The same six months a year earlier brought , which rules out the season: this line has lost real volume and has stayed down rather than dipping once.

    Recommended

    Put the dining operation on the next committee agenda with volume and average spend broken out by month since the fall began, and read the negative member notes from the same window before deciding whether this is menu, service or staffing.

    detector: revenue-category-decline · 4 evidence records · 4 recomputed in 118ms

  2. Elevated

    churn    Verified3 figures recomputed

    Elevated churn risk is concentrated in a cohort the club can name

    active members now score elevated or worse on the churn model, and between them they hold of contracted annual dues — against the the club billed in dues over the last twelve months. Every one of them arrives with a score, a band and the signals that produced it, so this is exposure the club can work rather than absorb.

    Recommended

    Work the cohort in dues order rather than alphabetically: the membership director takes the highest-dues names this month, and each call opens with the specific signal the model flagged rather than a general enquiry about how they are finding the club.

    detector: churn-cohort-exposure · 3 evidence records · 3 recomputed in 1091ms

  3. Elevated

    utilisation    Verified2 figures recomputed

    Weekday mornings at the tennis courts are running empty

    Weekday mornings before 11am drew check-ins at the tennis courts across the whole data window, out of in total. That block is already staffed and already paid for, and it is carrying almost none of the traffic.

    Recommended

    Programme the morning block before spending anything on new capacity: a coached clinic, a ladder or a standing social hour costs one professional's time and converts hours the club is paying for either way.

    detector: facility-underutilisation · 2 evidence records · 2 recomputed in 63ms

  4. Elevated

    membership    Verified2 figures recomputed

    The Q1 2025 joiners are retaining worse than the rest of the club

    Of the members who joined in Q1 2025 only are still active, against across everyone who joined inside the data window. That baseline includes this cohort itself, so the real gap against other intakes is wider than the one shown here — and the failure sits after the signature, not before it.

    Recommended

    Fix onboarding before running another recruitment drive: a named sponsor, a group placement in the first month and a check-in at ninety days cost less than replacing the members this cohort is still losing.

    detector: weak-joiner-cohort · 2 evidence records · 2 recomputed in 0ms

  5. Informational

    revenue    Verified2 figures recomputed

    Guest fee revenue has jumped against last summer

    Guest fees came to this season against in the same three months last year. That is incremental revenue nobody budgeted for, and it is also peak-season capacity being sold at guest rates instead of held for the members who pay dues for it.

    Recommended

    Read this in both directions before anything is renewed: measure whether guest play is displacing member tee times at peak hours, then price guest access against what those hours are worth to a member rather than against what the neighbouring club charges.

    detector: guest-fee-surge · 2 evidence records · 2 recomputed in 20ms

  6. Informational

    engagement    Verified2 figures recomputed

    Discretionary spend per member is climbing

    Active members spent an average of outside their dues over the last six months, against in the same six months a year earlier. The roll is scored the same way in both windows, so this is members behaving differently rather than a smaller denominator flattering the average.

    Recommended

    Attribute the increase by category before it is built into next year's budget: growth carried by one seasonal line is not the same asset as growth spread across everyday member spending, and only one of them can be relied on.

    detector: spend-per-member-drift · 2 evidence records · 2 recomputed in 17ms