Project Management migration

Migrate from farmerswife to Jira

Field-level mapping, validation, and rollback between farmerswife and Jira. We move data and schema; workflows are rebuilt natively in Jira.

farmerswife logo

farmerswife

Source

Jira

Destination

Jira logo

Compatibility

58%

7 of 12

objects map 1:1 between farmerswife and Jira.

Complexity

BStandard

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from farmerswife to Jira is a conceptual migration from a media-production scheduling platform to a general-purpose work tracker. farmerswife organizes production around Projects containing Activities, Bookings, Budgets, and a multi-layer rate permission hierarchy; Jira uses Projects containing Issues organized by type (Epic, Story, Task, Bug). We export farmerswife data through its CSV-based desktop client export (the licensed REST API requires a separate commercial agreement), normalize locale-sensitive separators, and map Activities to Jira Epics with Bookings resolved as linked subtasks or structured Labels. Jira has no native budget, rate card, or Price Agreement model, so we flatten these into custom fields and deliver a written rate permission inventory for the customer's admin to rebuild in Jira's permission scheme. Workflows, automations, and production-specific scheduling rules do not migrate; we document them as a rebuild scope rather than code.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

farmerswife logo

farmerswife

What's pushing teams away

  • English-only interface limits adoption in multilingual production teams working across international shoots and co-productions.
  • The desktop-first architecture feels dated compared to browser-based alternatives, particularly for remote coordinators who need web access.
  • Equipment handling and asset tracking lacks the streamlined barcode or RFID integration that production coordinators expect on set.
  • Upgrades require careful version-step sequencing and can introduce login or connectivity errors if not performed in order.
  • Pricing requires a direct sales conversation with no published per-seat range, making budget approval difficult for small agencies.

Choosing

Jira logo

Jira

What's pulling them in

  • Industry-standard tool with deep Git integration and sprint reporting that engineering teams already know, reducing onboarding friction for new hires.
  • Highly customizable workflows and status schemes let business teams model complex approval chains without writing code.
  • Strong ecosystem of Atlassian Marketplace apps means specialized capabilities like time tracking or portfolio management are one install away.
  • Free tier with up to 10 users and unlimited issues gives small teams a no-cost entry point to validate the platform before committing budget.
  • Visibility features — boards, backlog grooming, sprint reports, and dashboards — give leadership a shared view of what is planned, in progress, blocked, and done.

Object mapping

How farmerswife objects map to Jira

Each row shows how a farmerswife object lands in Jira, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

farmerswife

Project

maps to

Jira

Project + Epic

1:1
Fully supported

farmerswife Projects map to Jira Projects as the top-level container. Each Project's standard fields (name, status, dates, client link) map to Jira Project metadata fields. If the farmerswife Project contains high-level Activity groupings that need a parent-level aggregation in Jira, we create a single Epic per Project to act as that grouping container, and Activities become Stories or Sub-Epics within it. Custom fields on Project migrate to Jira Project Properties or to a custom field on the Epic.

farmerswife

Client

maps to

Jira

Project (as client container)

1:1
Fully supported

farmerswife Clients map to Jira Projects when the customer's Jira configuration uses Projects as client containers rather than as production-work groupings. The Client name becomes the Project name, and we add a Client custom field (Jira custom text field) to preserve the original farmerswife Client ID for audit and cross-reference. If the customer instead uses Jira Projects as work groupings and Companies are tracked separately, we map Client to a Jira Company-typed custom field.

farmerswife

Activity

maps to

Jira

Epic or Story

1:1
Fully supported

farmerswife Activities (scheduled work items within a Project, often representing shoot days, edit sessions, or production phases) map to Jira Epics. If the Activity contains sub-tasks or Bookings that need finer granularity, we create the Epic and nest individual Bookings as linked Stories or subtasks. The Activity dates (start, end) map to the Epic's start and due dates. Activity status (scheduled, in-progress, completed) maps to the Jira Epic Status via a configured workflow.

farmerswife

Booking

maps to

Jira

Subtask or Story (linked)

1:many
Fully supported

farmerswife Bookings represent resource assignments within Activities: each Booking links a Resource or Object to an Activity at a specific time slot. We map each Booking to a Jira subtask linked to the parent Epic (Activity). The resource reference (which Object or Person is booked) becomes the Jira Assignee or a custom Object Type label. Multiple Bookings for the same time slot within one Activity produce multiple Jira subtasks under the same Epic. We preserve the booking time window in the subtask description and in a custom date-range field.

farmerswife

Object: People

maps to

Jira

User

1:1
Fully supported

farmerswife People (contacts, crew members, staff) map to Jira Users. We export the full contact details from farmerswife's People Object Type (name, email, phone, role) and provision Jira user accounts by email. Any farmerswife People that do not have Jira accounts (e.g., freelance crew without Jira logins) are stored as Jira Contact custom fields on the relevant Issue rather than as full Jira Users.

farmerswife

Object: Resources, Rooms, Services

maps to

Jira

Label + custom fields

lossy
Fully supported

farmerswife Resources (equipment), Rooms, and Services do not have direct Jira equivalents because Jira tracks work items, not physical inventory. We map these to Jira Labels (e.g., Label: equipment_01, Label: studio_a) plus custom fields (Equipment custom field, Room custom field) on the relevant Issue. If the customer has a large equipment inventory, we recommend a Jira Asset Management ( formerly Insight) configuration as a separate engagement post-migration.

farmerswife

Object Type (Category)

maps to

Jira

Label prefix or custom field

lossy
Fully supported

farmerswife Object Types (Crew, Equipment, Studio, Service) are broad categorical labels organizing Objects. Jira has no equivalent Object Type taxonomy. We map Object Types to a Label prefix (e.g., Type_Crew, Type_Studio) applied to all Issues referencing Objects of that type, and optionally to a custom single-select or multi-select field if the customer prefers structured categorization over Labels.

farmerswife

Budget (with Price Agreements)

maps to

Jira

Custom fields (flagged as manual rebuild)

lossy
Fully supported

farmerswife Budgets with per line-item Price Agreements have no native Jira equivalent. Jira does not support a budget or cost-tracking object model without a third-party app. We migrate the budget total as a custom currency field on the Project or Epic, and we export all line items with Price Agreement details as a structured custom-field block or attached JSON payload. The customer reviews these during UAT. We flag this as a rebuild scope: either Jira custom fields plus a manual cost-entry workflow, or an AppExchange/Atlassian Marketplace budgeting app (Tempo Budgets, Structure Financials) as a separate implementation.

farmerswife

Rate Card and Rate

maps to

Jira

Custom fields (flagged as manual rebuild)

lossy
Fully supported

farmerswife Rate Cards (Client Rates and Project Rates with day rates, overtime, and custom pricing tiers) do not map to any Jira standard object. We export the full Rate Card structure including all rate tiers and permission assignments, and store it as a structured custom-field payload on the Project or as an attached reference document. The multi-layer rate permission hierarchy (who can view Project Rates vs Client Rates) has no Jira equivalent; we deliver a written rate permission inventory specifying the original permission matrix for the customer's admin to configure via Jira permission schemes.

farmerswife

User and Permission

maps to

Jira

User and Permission Scheme

1:1
Fully supported

farmerswife Users with role-based permissions (Project Rates Permissions and Client Rates Permissions) map to Jira Users with Jira Permission Schemes and Project Roles. The farmerswife permission hierarchy (Always Allow, default to own Projects, specific rate visibility) maps to a Jira permission matrix that we define during scoping. We note that Jira's permission model is role-based at the project level rather than field-level; customers requiring granular rate-field visibility need a custom field permission solution or an app like ScriptRunner.

farmerswife

Custom Field

maps to

Jira

Custom Field

1:1
Fully supported

farmerswife Custom Fields on Projects, Objects, and Activities map to Jira custom fields. We perform field-level discovery during scoping, identify the Jira field type equivalent for each farmerswife field (text, number, date, select, multi-select, user picker), and pre-create the Jira custom fields before migration. Since each customer's Custom Field schema is unique, we run field-by-field type mapping and validate data compatibility (e.g., multi-value custom fields in farmerswife map to Jira multi-select picklists).

farmerswife

Time Entry

maps to

Jira

Worklog

1:1
Fully supported

farmerswife Time Entries (logged against Activities and Bookings) map to Jira Worklog entries on the relevant Issue. We preserve the original duration, date, and user reference by resolving the farmerswife time entry owner to the Jira User. Worklog ordering reflects the original farmerswife timestamp. Jira's time-tracking feature must be enabled in the target project before migration.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

farmerswife logo

farmerswife gotchas

High

Licensed REST API requires separate commercial agreement

Medium

Multi-layer rate permission hierarchy does not map directly to standard role systems

Medium

CSV export uses locale-sensitive separator characters

High

Server migration requires copying specific sub-folders in exact order

Low

Price Agreement line items in Budgets use per-item fixed-price agreements

Jira logo

Jira gotchas

High

Unsupported workflow validators silently skipped during migration

High

Custom fields converted to flat text labels when migrating to non-Jira platforms

Medium

Historical status-change timestamps lost when exporting without a Marketplace plugin

Medium

Attachment import failures from oversized files and JQL reference corruption

Medium

Points-based API rate limits enforced on Jira Cloud apps from March 2026

Pair-specific challenges

  • farmerswife Budgets and Rate Cards have no Jira native equivalent

    Jira does not include a native budget, rate card, or cost-tracking object model. farmerswife Budgets contain line items with Price Agreements (per-item fixed-price terms) and multi-layer rate permissions that cannot be represented in Jira's standard schema. We migrate budget totals and line-item data as Jira custom fields and deliver a written rate permission inventory, but the customer must configure a cost-tracking approach post-migration either through Jira custom fields with manual entry or an Atlassian Marketplace budgeting app. This is a structural capability gap, not a data-loss issue, and it must be scoped explicitly before migration begins.

  • Licensed REST API requires separate commercial agreement or fallback to CSV export

    The farmerswife REST API is not included in standard subscriptions and requires a separate commercial agreement with farmerswife ([email protected]). Without API access, authenticated requests return errors. We verify API license status during scoping and fall back to CSV export via the desktop client's Import/Export functionality if the license is not available. CSV export covers Objects, Activities, Classes, and Resources but excludes some financial data that the API alone exposes, which amplifies the Budget and Rate Card gap.

  • CSV export uses locale-sensitive separator characters

    The 'Open as Spreadsheet' export in farmerswife produces CSV files where column separators are controlled by the Client's Locale Settings. Users must configure semicolon (;) or comma (,) as the list separator before exporting to ensure columns split correctly. We set this up during the export session or ask the customer to configure it in advance. If a customer exports with default system separators and their locale differs, the CSV lands as a single concatenated column, requiring us to request a re-export and adding a delay cycle to the migration timeline.

  • Jira Cloud Migration Assistant skips workflow validators and post functions

    When migrating from Jira Server or Jira Data Center to Jira Cloud using Atlassian's official Migration Assistant, transition validators and post functions on workflows are skipped during migration and must be reviewed post-migration to ensure permissions and workflow behavior are correct. Since farmerswife does not use Jira, this gotcha applies when the destination is an existing Jira environment that already has workflows configured. We flag any workflow conflict before migration and document required post-migration workflow reviews.

  • Activity-to-Epic mapping loses production scheduling depth

    farmerswife Activities carry deep scheduling context: time slots, linked Bookings with resource assignments, and production phase relationships. Jira Epics are parent-level work aggregators without native time-slot scheduling. We map Activities to Epics and Bookings to subtasks, but production scheduling context (availability windows, resource conflicts, studio booking overlaps) is not natively representable in Jira without a resource management app. We document the scheduling gap and recommend a Jira resource management app (Structure, BigPicture) as a post-migration configuration if the customer requires crew or studio scheduling inside Jira.

Migration approach

Six steps for a successful farmerswife to Jira data migration

  1. Discovery and CSV export configuration

    We audit the farmerswife instance: list all Projects, Object Types, Activities, Bookings, Budgets, Rate Cards, Custom Fields, and Users. We verify REST API license status; if unlicensed, we configure the desktop client's CSV export with the correct locale separator (semicolon or comma) and run a full export of all entity types. We document the Object Type taxonomy and rate permission hierarchy in a written discovery output. For Jira, we identify the target environment (Cloud or Data Center), Jira version, and any existing projects that will receive migrated data.

  2. Schema design and Jira configuration

    We design the Jira destination schema in a Sandbox environment. This includes provisioning Jira Projects (one per farmerswife Project or one per Client depending on the customer's grouping preference), custom fields typed to match farmerswife field data (currency fields for budgets, user picker for Object references, date fields for Activity dates, multi-select for Object Types), Label configurations, and permission schemes that approximate the original farmerswife rate permission hierarchy. We create a written rate permission inventory documenting which users could view Project Rates versus Client Rates for the admin to configure in Jira's permission scheme post-migration.

  3. Export, transform, and sandbox migration

    We extract CSV data from farmerswife, apply the separator fix if locale mismatches are detected, and run the transformation pipeline: Projects map to Jira Projects, Activities map to Jira Epics, Bookings map to Jira subtasks under the Epic, Clients map to Project names with a Client ID custom field, and Rate Cards and Budgets map to custom-field payloads and reference documents. We run a full migration into a Jira Sandbox and deliver a reconciliation report. The customer spot-checks 25-50 records against the source and signs off the mapping before production migration.

  4. User provisioning and Owner reconciliation

    We extract every distinct farmerswife user referenced on Activities, Bookings, and Time Entries and match by email against the Jira destination's User table. Farmerswife People without Jira accounts are handled as custom-field Contact references rather than Jira Users. The customer's Jira admin provisions any missing Jira users and assigns appropriate project roles. Owner reconciliation must complete before record import resumes because Jira requires a valid Assignee on subtasks.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira Users (validated), Jira Projects and custom fields (schema deployment), Clients (as Project name or custom field), Activities (as Epics), Bookings (as subtasks), Time Entries (as Worklogs), Custom Fields (per-entity), and Object metadata (as Labels). Each phase emits a row-count reconciliation report. We freeze farmerswife writes during the final cutover delta window and migrate any records modified during migration before switching Jira to live.

  6. Cutover, validation, and rate permission handoff

    We enable Jira as the system of record after the final delta migration. We deliver the rate permission inventory document and the budget and rate card data as structured reference exports. We support a one-week hypercare window for reconciliation issues. We do not rebuild farmerswife scheduling rules or production-specific automations in Jira; those are documented as a separate Jira resource management configuration scope. Workflows, if any existed in the farmerswife context (e.g., email notifications on booking changes), are documented as a Jira notification scheme rebuild for the customer's admin.

Platform deep dives

Context on both ends of the pair

farmerswife logo

farmerswife

Source

Strengths

  • Deep resource scheduling for crew, studios, edit suites, and production equipment with real-time availability views.
  • Integrated financial workflow from quote through budget to invoice within a single platform.
  • Multi-layer rate permission system that separates Project Rates from Client Rates for granular access control.
  • CSV-based import/export provides a reliable data portability path without requiring the licensed REST API.
  • Specialist support from media-industry professionals who understand production terminology and workflows.

Weaknesses

  • Desktop-first application with limited browser-based access for remote or distributed production teams.
  • English-only interface restricts adoption in international and multilingual media organisations.
  • Licensed REST API adds cost and requires separate commercial engagement to enable programmatic exports.
  • Server migration requires careful version-step upgrades and manual file folder management rather than self-service tooling.
  • Pricing is opaque—no public per-seat or tier range—complicating budget planning for smaller agencies.
Jira logo

Jira

Destination

Strengths

  • Deeply customizable workflows and status schemes with no hard limits on workflow complexity or number of custom statuses.
  • Strong agile ceremony support: sprint planning, backlog grooming, velocity tracking, and burndown charts for Scrum teams.
  • Industry-standard developer tool with native Git integration linking commits, pull requests, and deployments to issues.
  • Large Atlassian Marketplace with thousands of plugins extending time tracking, portfolio management, and reporting capabilities.
  • Free tier available for up to 10 users with unlimited issues, enabling evaluation before committing to a paid plan.

Weaknesses

  • Excessive configurability creates a steep learning curve; cross-team consistency is hard to maintain without strict governance.
  • Performance degrades with large backlogs, complex custom fields, and heavily nested issue hierarchies.
  • Reporting requires additional configuration or paid plugins; out-of-the-box analytics are limited for business users.
  • Jira lacks native sprint management, requiring Jira Software for true agile team features.
  • Teams outside engineering resist adoption due to UI complexity, leaving the all-in-one promise unfulfilled for cross-functional organizations.

Complexity grading

How hard is this migration?

Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across farmerswife and Jira.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    farmerswife: Not publicly documented in available support articles.

  • Data volume sensitivity

    B

    farmerswife doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your farmerswife to Jira migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about farmerswife to Jira data migrations

Answers to the questions buyers ask most during farmerswife to Jira migration scoping. Not seeing yours? Book a call.

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Most migrations land between four and eight weeks for instances under 5,000 Activities, 2,000 Bookings, and no complex Budget or Rate Card structures. Migrations with large Budget hierarchies, multi-layer rate permission matrices, large object inventories (500+ Resources, Rooms, or Services), or Jira Data Center as the destination move to ten to sixteen weeks because of schema design, custom field type mapping, and Jira Sandbox dry-run cycles. The CSV export configuration and locale separator fix add a small pre-migration setup step that typically takes one to two days.

Adjacent paths

Related migrations to explore

Ready when you are

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