Project Management migration

Migrate from Forecast to Jira

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

Forecast logo

Forecast

Source

Jira

Destination

Jira logo

Compatibility

80%

8 of 10

objects map 1:1 between Forecast and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Forecast to Jira is a schema-restructuring migration, not a direct record copy. Forecast organizes work as Projects containing Phases containing Tasks with Milestones and Time Registrations; Jira uses Projects containing Issues in a hierarchy of Epics, Stories, Tasks, and Subtasks. We map Forecast's Phase level to Jira Epics, Forecast Tasks to Jira Stories or Tasks, and preserve Milestone target dates as Jira Due Dates or a dedicated Milestone field. Time Registrations with billable rates become Jira Work Logs with the rate preserved in a custom field. Resource Assignments from Forecast map to Jira Assignees. We flag that Forecast's automation and reporting configurations do not migrate; we deliver a written inventory of any existing Forecast Automations and custom Dashboards requiring rebuild in Jira.

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

Forecast logo

Forecast

What's pushing teams away

  • Customization options are limited and hard to work around, especially for organizations with non-standard workflows that do not fit Forecast's opinionated structure.
  • The interface becomes restrictive when multiple users need to work simultaneously, with limited real-time collaboration features noted by larger teams.
  • No free tier or publicly available pricing forces a sales conversation before teams can evaluate fit, which slows down procurement for smaller organizations.
  • Scalability is a concern for larger organizations; the tool works well for small and mid-sized teams but begins to strain as project count and user count grow.

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 Forecast objects map to Jira

Each row shows how a Forecast 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.

Forecast

Project

maps to

Jira

Project

1:1
Fully supported

Forecast Projects map directly to Jira Projects. The Forecast project name, description, status, start date, and end date migrate to the Jira Project with equivalent fields. Jira Projects require a Project Type (Team-managed or Company-managed) and a Lead; we set the Project Lead to the Forecast project owner during scoping. Jira project keys are derived from the Forecast project name truncated to the Jira maximum of 10 characters.

Forecast

Phase

maps to

Jira

Epic

1:1
Fully supported

Forecast Phases map to Jira Epics within the target Jira Project. The Phase name becomes the Epic name, Phase description becomes Epic description, and Phase start/end dates map to Epic start and due dates. Jira Epics allow Stories and Tasks to be linked as child issues, which mirrors how Phases contain Tasks in Forecast. If the customer uses Sprints, we discuss whether Phases should map to Sprints instead; Epic is the default for hierarchical mapping.

Forecast

Task

maps to

Jira

Story or Task

1:1
Fully supported

Forecast Tasks map to Jira Stories (for user-facing deliverables) or Tasks (for internal work items). We preserve the Forecast Task name as the Jira Summary, the description as the Jira Description, the assignee as the Jira Assignee, and the due date as the Jira Due Date. Status mapping follows the status value map defined during scoping: Forecast's status values (Active, On Hold, Completed, etc.) map to Jira status categories (In Progress, To Do, Done).

Forecast

Task

maps to

Jira

Subtask

1:1
Fully supported

If a Forecast Task has child tasks, those child tasks migrate as Jira Subtasks linked to the parent Story or Task. Jira Subtasks inherit the parent issue type context and share the same workflow. We use the parent task reference from Forecast to establish the Jira subtask relationship during import.

Forecast

Milestone

maps to

Jira

Due Date or Milestone field

lossy
Fully supported

Forecast Milestones carry a name and a target date tied to a Project. Jira has no native Milestone object in the standard issue model. We map Milestones to either the Jira Due Date on the parent Epic or Story, or to a custom Milestone field if the customer requires a dedicated Milestone tracker. During scoping we confirm the preferred approach based on how the customer uses Milestones for delivery reporting.

Forecast

Custom Fields

maps to

Jira

Custom Fields

1:1
Mapping required

Forecast Custom Fields (text, numeric, choice types) applied to Projects, Phases, Tasks, and Time Registrations require field-level mapping to Jira equivalent fields. We identify every non-standard field during scoping, verify type compatibility (text to Jira Text Field, number to Jira Number Field, choice to Jira Select List), and confirm that choice options are reproduced in Jira. Jira Software Premium includes custom fields at no additional cost; standard plans have limits on custom field count per issue type.

Forecast

Time Registration

maps to

Jira

Work Log

1:1
Fully supported

Forecast Time Registrations carry hours, date, billable flag, and optionally a rate, linked to a Task or Project. We map these to Jira Work Logs on the equivalent migrated issue. The billable flag becomes a Jira custom field or a Work Log comment. The rate value migrates to a custom field on the issue since Jira Work Logs do not store a rate by default; we flag this during scoping and create the custom rate field before migration.

Forecast

Rate Card

maps to

Jira

Custom Field or Configuration

lossy
Fully supported

Forecast Rate Cards define hourly billing rates per role or person. Jira has no native Rate Card object. We extract the rate card structure during discovery, then discuss with the customer whether to store rates as custom fields on Jira User profiles (for role-based rates) or as a separate configuration document for manual lookup. If the customer requires time-and-materials billing in Jira, we recommend Jira Software Premium with a time-tracking configuration or a third-party billing app from the Atlassian Marketplace.

Forecast

Resource Assignment

maps to

Jira

Assignee

1:1
Fully supported

Forecast Resource Assignments link a team member to a task with an allocated percentage or hours. We extract the assignment records and map the Forecast user reference to the Jira Assignee field on the migrated issue. Jira Assignee is a standard User field. We resolve Forecast users to Jira users by email match and flag any orphaned assignments (Forecast user without a matching Jira user) for the customer admin to provision before the final import run.

Forecast

User

maps to

Jira

User

1:1
Fully supported

Forecast Users (project managers, team members, time trackers) migrate as Jira Users. We match by email address. Jira requires the migration user to have the necessary project permissions. Any Forecast user without a Jira account goes to a reconciliation queue; the customer's Jira admin provisions the missing account before migration resumes.

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.

Forecast logo

Forecast gotchas

High

No public pricing or self-serve trial

High

CSV-only data export covers a subset of objects

Medium

No documented public API for bulk operations

Medium

Custom Fields require field-level mapping at destination

Low

Multi-user concurrent editing is limited

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

  • Forecast CSV export omits Custom Fields, Rate Cards, and Resource Assignments

    Forecast's built-in CSV export covers Projects, Phases, Tasks, and Time Registrations but does not export Custom Fields, Rate Cards, or Resource Assignments. During migration scoping we request API access credentials for Forecast to extract the missing objects, or we ask the customer to provide manual exports for these entity types. If API access is unavailable, we fall back to a combination of manual CSV exports and API-based augmentation for the objects not covered by CSV. This step adds scoping time and requires the customer to confirm data completeness before we begin the import run.

  • Jira has no native Milestone object

    Forecast's Milestone is a distinct object tied to a Project with a name and target date. Jira does not have a native Milestone record type; Milestones in Jira are typically implemented as a Due Date on an Epic, a dedicated custom field, or a separate Jira project used as a milestone tracker. We discuss the customer's Milestone use case during scoping and implement the agreed approach before migration. If the customer relies on Milestones for delivery reporting, we recommend Jira Premium with Roadmaps or a third-party app like BigPicture that adds native Milestone tracking.

  • Rate Cards have no direct Jira equivalent and require custom configuration

    Forecast Rate Cards define hourly billing rates per role or person, which is a native Forecast feature. Jira has no Rate Card object; work logs record time spent but not a billing rate. We handle this by creating a custom Number field on the Jira issue to store the billable rate, or by documenting the Rate Card structure for the customer's admin to configure in a billing app post-migration. If the customer's primary use of Forecast is time-and-materials billing, we recommend Jira Software Premium with time-tracking enabled and a review of Atlassian Marketplace billing apps during the migration scoping call.

  • Jira Cloud migration speed degrades with large attachment volumes

    Atlassian community reports document that Jira Cloud migration speed degrades significantly when attachments are involved. Teams with large attachment volumes (over 1 TB of files) report migration times of 15-20 hours or more for attachment transfer alone. Forecast stores attachment URLs and file references but not large binary blobs, so this is a lower risk than migrating Jira-to-Jira, but we still chunk attachment migration into batches and validate each batch before the next begins. For Forecast migrations with heavy attachment use, we recommend migrating attachments separately from issue data and scheduling the attachment phase during off-peak hours.

Migration approach

Six steps for a successful Forecast to Jira data migration

  1. Discovery and data inventory

    We audit the source Forecast account for Projects, Phases, Tasks, Milestones, Time Registrations, Rate Cards, Custom Fields, and Resource Assignments. We extract record counts for each object type, identify any non-standard fields, and confirm which objects are actively used versus historical. We also identify any Forecast Automations that exist in the account so we can document them for rebuild handoff. The discovery output is a written migration scope document with object counts, custom field inventory, and a rate card summary.

  2. Jira project and schema design

    We design the destination Jira site structure before any data moves. This includes creating Jira Projects (one per Forecast Project or consolidated if the customer prefers), configuring the Jira issue type scheme (Epic, Story, Task, Subtask hierarchy), defining status categories mapped to Forecast status values, creating any required custom fields (including rate storage fields for time-and-materials billing), and setting the Project Lead and default assignee. Jira's Bulk API and CSV import capabilities are validated during this phase. We recommend Jira Software Premium if custom fields on multiple issue types are required; Standard covers basic migrations.

  3. Sandbox migration and reconciliation

    We run a full migration into a Jira Sandbox or test environment using representative data volume. The customer reviews the migrated Projects, Epics, Stories, Tasks, Subtasks, and Work Logs for accuracy: names, descriptions, dates, assignees, status values, custom field values, and Milestone mappings. The customer signs off on the sandbox results before production migration begins. Any field mapping corrections, status value adjustments, or custom field configurations are made here.

  4. User reconciliation and Jira account provisioning

    We extract every distinct Forecast user referenced as an owner, assignee, or time tracker and match by email against the Jira destination. Any Forecast user without a matching Jira account goes to a reconciliation queue. The customer's Jira admin provisions the missing accounts and sets appropriate project roles (Administrators, Members, Viewers) before record migration resumes. Jira permissions are configured per project during this step.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Jira Users (provisioned, validated), Jira Projects (created with keys and settings), Epics (from Forecast Phases), Stories and Tasks (from Forecast Tasks, with parent Epic links resolved), Subtasks (from child Forecast Tasks), Milestones (mapped to Due Dates or custom Milestone field per the agreed approach), Work Logs (from Time Registrations with rate in custom field), and Custom Fields (validated against the Jira field inventory). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and Automation rebuild handoff

    We freeze Forecast writes during cutover, run a final delta migration of any records modified during the migration window, then enable Jira as the system of record. We validate a random sample of migrated records against the Forecast source to confirm accuracy. We deliver the Automation inventory document listing any Forecast Automations requiring rebuild in Jira Automation or Automation for Jira (if Premium). We support a one-week hypercare window for reconciliation issues. We do not rebuild Forecast Automations as Jira rules inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Forecast logo

Forecast

Source

Strengths

  • Integrated Gantt chart, resource management, and financial overview in a single subscription without feature-tier gating.
  • AI-powered demand forecasting and utilization reporting give managers actionable capacity signals without manual calculation.
  • Time tracking with billable rates is native, not an add-on, so revenue visibility stays in sync with project progress.
  • Milestone tracking with baselines lets teams compare planned versus actual delivery timelines over the project lifecycle.
  • Custom Fields are available on Projects, Phases, Tasks, and Time Registrations, allowing teams to capture non-standard metadata without workarounds.

Weaknesses

  • No public pricing — every contract is negotiated individually, making cost comparison and budget planning difficult without a sales call.
  • No free tier and no self-serve trial — teams must contact Forecast directly for a demo, adding friction to the evaluation process.
  • Limited real-time collaboration: the interface becomes restrictive when multiple users edit simultaneously.
  • Customization ceiling is low — organizations with highly specific workflows find it difficult to adapt Forecast to their structure.
  • No documented public bulk export API; data export is limited to CSV for schedule data, which does not cover all object types.
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 Forecast 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

    Forecast: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Forecast 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 Forecast to Jira data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most migrations land between three and five weeks for accounts under 5,000 tasks with no complex custom field sets. Migrations with large historical time registrations (over 50,000 entries), multiple custom fields, rate card structures, or multiple Forecast projects that need distinct Jira project configurations move to seven to twelve weeks because of field-level mapping validation, rate card transformation, and Jira project setup time per Forecast project.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Forecast.
Land in Jira, intact.

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