switch from herdwatch to poultry log Software & Apps

Switch From Herdwatch: The Field-Entry Check

Last updated: October 7, 2026

Growers leaving Herdwatch for a poultry-specific system usually make the decision in the barn, not the office: the moment that decides a migration is when a field entry takes longer than the walk allows, or when the record made in the field does not surface as a number the office can use. No claims are made here about Herdwatch's features — the check items are yours to answer against your own account.

Switch From Herdwatch: The Field-Entry Check

Growers leaving Herdwatch for a poultry-specific system usually make the decision in the barn, not the office: the moment that decides a migration is when a field entry — mortality, a weight, a water observation — takes longer than the walk allows, or when the record made in the field does not surface as a number the office can use. This page covers the field-entry check for growers considering the switch, the staged cutover, and what the migrated record produces. It makes no claims about Herdwatch's features — the check items are yours to answer against your own account, and the side-by-side comparison covers feature-level detail separately.

How to read this page: No claims are made here about Herdwatch's features, pricing, or limits. Where PoultryLog™ capabilities are referenced, those are limited to what the product does: mobile-first poultry logs with time-of-day, offline entry where signal drops, growth charts, expense and income tracking, and finance import from Excel-compatible CSV templates (Growth plan and above).

The Field-Entry Check

Verify In The Barn, Not The Office Why It Decides the Switch
Time from observation to entry Time a full record set — mortality by house, a weight sample, a feed observation — in your current app, gloves on, in actual barn conditions. If it takes longer than the walk, entries get reconstructed later or lost.
Offline behavior Walk the dead-signal corner of the house with your current app open. Does entry continue, queue, or fail? The offline mode guide covers why this matters in real barns.
Time-of-day capture Does the entry record when the event happened — not when you finally typed it? The mobile logging guide covers the operational difference.
Office-side surfacing Does what you entered in the barn appear in the reports the office runs on — or does someone re-key it?

The Staged Cutover

The migration follows the cluster standard (the migration hub covers it fully): start at a clean boundary — a new flock placement or the first of a month; seed the active flock's current state; move finance history through the finance CSV import where rows exist (Growth plan and above); keep the old system read-only for one cycle; verify at the first settlement compared line-by-line against the new record. The desktop migration guide covers the same field-first ordering for office-based systems.

What the Migrated Record Produces

Entries land during the walk with time-of-day, in structured fields that join trend lines directly — the cause-signature table shows why mortality structure matters. Growth against the growth chart comes from weights logged in the barn; cost per bird comes from expenses attributed per flock; and the tournament position improves from the record that makes every weight and feed number defensible at settlement.

Frequently Asked Questions

What if my current app passes the field-entry check?

Then weigh what else the migration would change — the report outputs, the per-flock cost structure, the settlement record. The buyers checklist covers the full comparison.

Should I test the new app before committing?

Yes — run it for one full barn walk under real conditions before the boundary. The iPhone app guide covers what field testing should include.

What happens to records made in the old app after the boundary?

Nothing — they stay as the read-only archive; the new system owns records going forward. The migration hub covers the archive approach.

Revision log:
  • 2026-10-06: Comprehensive rewrite as an honest field-entry check migration guide — barn-condition verification table, staged cutover reference, and no competitor feature claims — replacing the earlier version with fabricated first-person claims.
  • Earlier version: first-person narrative about switching from Herdwatch.
Direct answer

How do I evaluate switching from Herdwatch for poultry?

Run the field-entry check in the barn, not the office: time a full record set — mortality by house, a weight sample, a feed observation — in your current app under real conditions; walk the dead-signal corner and see whether entry continues, queues, or fails; confirm entries capture time-of-day, not re-keying time; and check whether what you entered in the barn surfaces in the office reports without re-entry. If the check confirms the gap, stage the cutover at a clean boundary and verify at the first settlement.

Field-entry check: time-to-log under real barn conditions, offline behavior, time-of-day capture, office-side surfacing.

The migration decision is made in the barn — entries longer than the walk get reconstructed or lost.

If you migrate: clean boundary, seeded active flock, finance CSV import (Growth plan and above), read-only old system one cycle.

Verified at the first settlement compared line-by-line against the new record.

Comparison

Paper records vs Poultry Log™ for switch from herdwatch to poultry log

Paper and spreadsheets can store switch from herdwatch to poultry log data, but they rarely show which house, flock, or expense is actually costing money.

Farm need Paper or spreadsheet Poultry Log™
Field-entry check: time-to-log under real barn conditions, offline behavior, time-of-day capture, office-side surfacing.
Scattered across notebooks and hard to find when needed.
Logs and trends stay connected to the house and flock where they happened.
The migration decision is made in the barn — entries longer than the walk get reconstructed or lost.
Requires manual calculation and cross-referencing.
Automatic calculations and cross-referencing between data types.
If you migrate: clean boundary, seeded active flock, finance CSV import (Growth plan and above), read-only old system one cycle.
Easy to start but difficult to analyze across multiple flocks.
Structured data that can be analyzed across flocks and houses.
Verified at the first settlement compared line-by-line against the new record.
No connection between this data and financial outcomes.
Ties directly to expense and settlement records for profitability view.
Poultry Log™

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