[ Case study ]
Taproom sales, wholesale accounts, and festival events each lived in different tools; the founding team made brewing and staffing decisions on gut feel, and a bad festival season had been invisible until the cash balance said so.
CLIENT a craft brewery with three taprooms and a wholesale arm — FOCUS One scorecard, three columns
Representative examplesEvery case study in this library is an illustrative composite of the kind of engagement we deliver — written to show our method and standards, not to name clients.
The brewery runs three taprooms and a wholesale arm from one small operation, with the founding team making brewing and staffing calls between tasks on their phones. Taproom sales live in point-of-sale systems, wholesale in a ledger the accountant keeps, and festival results in whatever spreadsheet the event lead assembles. The tooling is deliberately small — there is no budget for new platforms, and none was requested. A festival season that went badly had been invisible until the cash balance said so, which is the kind of instrument panel that works until precisely the moment it is needed.
Taproom sales, wholesale accounts, and festival events each lived in different tools; the founding team made brewing and staffing decisions on gut feel, and a bad festival season had been invisible until the cash balance said so.
We proposed one scorecard, built entirely on the brewery's existing exports: taproom, wholesale, and events as peer columns with per-liter and per-event normalization, so the founders compare revenue shapes rather than absolutes of different units. Every tile compares against the same week in prior years, because seasonality dwarfs every other signal in this business and a dashboard that celebrates sunshine is worse than none. The scorecard is designed phone-first — legible in ninety seconds between tasks — with detail one tap away. No new tooling, no new logins, nothing to maintain beyond the exports they already produce.
Just as important is what we ruled out, and why:
Taproom, wholesale, and events appear as peer columns with per-liter and per-event normalization, so the founders compare revenue shapes, not absolutes.
Each tile compares against the same week in prior years, making real movement visible and sunshine invisible.
The scorecard is designed for a phone screen first, with the detail view one tap away.
Delivered by the growth pod — analytics specialist over 4 weeks, with working increments reviewed with the client every week.
Obstacle
The festival spreadsheet's free-text fields — event names, city spellings, revenue notes — needed a cleanup layer nobody had budgeted, and agreeing its format took longer than building the queries.
Handled: We negotiated a light template with the event lead for future festivals, wrote a parsing layer for the historical free text, and accepted documented fuzziness on old events rather than inventing precision.
Obstacle
One taproom's POS ran a different software version with its own product naming, so the same beer appeared under two names and the per-liter comparisons silently split.
Handled: A product-mapping table fixed the naming at import, we validated the first month against the founders' own knowledge of what they actually sold, and the map is now part of the weekly checklist.
The headline: founders reviewing taproom, wholesale, and events from one weekly phone view — Gut feel → one scorecard, read from Scorecard adoption. A second check: weekly revenue reviews needed to plan brewing and staffing at 3 → 1.
The founders' weekly check-in happens on one screen now, usually standing up, usually while the kettle is on — three revenue shapes side by side, each against its seasonal baseline, sunshine ignored by design. The next festival season was judged while it was still happening, and one underperforming event was dropped from the calendar on evidence instead of folklore. Brewing quantities still involve judgment, but the judgment now starts from the same numbers every founder sees, which ended the quiet disagreements about whose week was the real week.
The result was read from Scorecard adoption against the pre-engagement baseline over the stated window, with a guardrail check on weekly revenue reviews needed to plan brewing and staffing. Where platform-reported numbers and business outcomes differ, this record says which layer it is quoting.
What we would do differently
We would have negotiated the festival spreadsheet's format before building — its free-text fields needed a cleanup layer, and agreeing a template would have saved it.
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