Case study · Enterprise · 2026

20% to 90% observation capture.
30 days.

A 30-day operational study with an enterprise field advisor covering ~2,000 acres and 20–24 fields per week, measuring what changes when field knowledge is no longer lost to friction.

Study type30-Day Operational Study
PeriodSpring 2026
Scale~2,000 acres · 20–24 fields/week
PersonaEnterprise field advisor
20% → 90%Observation capture rate
156Structured logs in 30 days
1.5 hrsSaved per week in recall alone
3–4 → 1Tools in daily workflow

The baseline

80% of what happened in the field was never recorded.

Before Numanac, observations were recorded through texts, spreadsheets, a legacy ag platform, or memory. Only major findings got documented. Organizing smaller observations by field created too much friction. The advisor estimated that approximately 20% of observations and 10% of spray decisions were actually logged, despite a normal workload of 18–20 field checks per week across 20–24 fields using 3–4 separate tools.

The cost wasn't visible in any single week. It accumulated in the form of reconstructed memory on grower calls, inconsistent follow-up, and field knowledge that walked out the door at the end of every season.

MetricBefore NumanacUsing Numanac
Observation capture rate~20%~90%
Tools in daily workflow3–4 tools1–2 tools
Structured logs createdOften skipped156 logs / 30 days
Recall & retrieval timeMemory + search1.5 hrs saved / wk

The study

Tested against a normal operational cadence. Nothing staged.

The advisor ran Numanac across their existing workload for 30 days: the same fields, the same growers, the same pace. 77 field checks completed, 156 structured logs created, all within 1–2 minutes per observation. Logging friction dropped below the threshold where skipping it felt justified.

Retrieval moved from memory and multi-tool search to a single conversational query through Alma. Prior observations, fertilizer application timing, insect counts from previous visits, immediately available during grower calls, without reconstructing anything.

"Numanac has been a huge relief. It converted subjective memory into accessible, structured operational data. It's a comprehensive record of what conditions existed before a recommendation or decision."
30-Day Operational Study · Enterprise Field Advisor, 2026

Five improvement areas

What actually changed in the field.

01

Data collection quantity

The advisor shifted from recording only major findings to consistently capturing minor observations, insect counts, and field-condition changes, because the platform organized and preserved those records automatically.

02

Collection quality

Observations attached to specific field contexts instead of buried in notes, texts, or email. Logs were map-accessible, minor observations could be captured without friction, and insect counts could be compared across geographically distant fields.

03

Recall, retrieval & processing time

Numanac reduced time and friction in later recall by making field observations, prior applications, and operational context immediately retrievable through Alma. Real-time retrieval of field data during grower phone calls, without searching paper notes or memory.

04

Team communication

Field observations became immediately accessible and easier to explain during live conversations. The advisor retrieved and discussed observations in real time while on the phone with growers. By the end of the study, real-time visibility into PCA logs and tasks was identified as a direct benefit for growers as well.

05

Task management & operational clarity

Lower cognitive load as operational demands increased: observations and follow-up actions converted into organized tasks instead of remaining in personal notes. Reduced concern about forgetting field checks, improved consistency in field-check intervals, better visibility into workload.

Enterprise implications

What this means at scale.

For retailers and advisors managing multi-field books, the same pattern holds across every account. The operational gaps are identical. Only the scale differs.

Observation capture

More field conditions recorded, including minor observations that usually disappear.

Field-level organization

Logs organized by geography and context instead of scattered across notes, texts, email, and spreadsheets.

Recall and retrieval

Advisors retrieve prior observations, fertilizer timing, rates, and field status without manually searching multiple systems.

Team communication

Teams see, share, and discuss field history in real time with significantly improved confidence and specificity.

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