Project Management migration

Migrate from ProofHub to Jira

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

ProofHub logo

ProofHub

Source

Jira

Destination

Jira logo

Compatibility

75%

9 of 12

objects map 1:1 between ProofHub and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from ProofHub to Jira is a structural migration that restructures how work is organized and tracked. ProofHub uses a hierarchical Project > Tasklist > Task model with flat labels and milestones as standalone date markers; Jira uses a Project > Issue model where issue types, statuses, and resolutions are configured per project with epics, stories, bugs, and tasks as distinct subtypes. We extract the ProofHub task hierarchy, map each Tasklist to a Jira issue type and status category, convert milestones to Jira milestones linked to their associated issues, and preserve time entries as Jira worklog records. ProofHub's built-in proofing markup and annotation records do not transfer to Jira; we deliver those files as a downloadable archive and note the approval decisions separately for manual re-establishment. ProofHub workflows and custom automation rules do not migrate as code; we document every rule for the customer's admin to 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

ProofHub logo

ProofHub

What's pushing teams away

  • File management is difficult to sort and clean, with reviewers noting that large document libraries become disorganized over time.
  • The Essential plan caps projects at 40, pushing growing teams toward the Ultimate Control tier or an alternative platform sooner than expected.
  • Some users report the interface lacks full intuitiveness, requiring a non-trivial learning investment before the team reaches productivity.
  • Lack of advanced automation compared to tools like ClickUp or Monday.com drives teams with heavy workflow automation requirements to switch.

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 ProofHub objects map to Jira

Each row shows how a ProofHub 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.

ProofHub

Project

maps to

Jira

Project

1:1
Fully supported

ProofHub Projects map 1:1 to Jira Projects. Project name, description, start date, and end date migrate to Jira Project metadata. If the Jira destination has existing projects with the same name, we append a project suffix and flag the collision for the customer's admin to resolve before final import. ProofHub sub-projects map to Jira Projects under the same Jira site or remain as separate Jira projects depending on scoping.

ProofHub

Tasklist

maps to

Jira

Issue Type Scheme + Status Category

lossy
Fully supported

ProofHub Tasklists map to Jira issue types (Story, Task, Bug) configured per project. Each Tasklist name becomes an issue type or maps to an existing issue type based on the customer's naming convention. Tasklist ordering is preserved as the default Jira rank order. If the destination Jira project has an existing Issue Type Scheme, we append the new issue types to it rather than replacing it.

ProofHub

Task

maps to

Jira

Issue

1:1
Fully supported

ProofHub Tasks map 1:1 to Jira Issues. Task title becomes Summary, description becomes Description, start date maps to Jira's custom Start Date field (if installed) or remains as a custom field, due date maps to Due Date, priority maps to Priority (with ProofHub's low/medium/high normalized to Jira's Low/Medium/High/Highest/Lowest), and labels migrate as Jira Labels. Assignee resolution requires matching by email to Jira User records.

ProofHub

Subtask

maps to

Jira

Sub-Task Issue

1:1
Fully supported

ProofHub Subtasks map to Jira Sub-Task issues linked to their parent Issue via the Parent Link field. Subtask title, assignees, due dates, and description migrate directly. The Jira project must have Sub-Tasks enabled in its Issue Type Scheme, which we configure before migration begins.

ProofHub

Milestone

maps to

Jira

Version (Milestone)

1:1
Fully supported

ProofHub Milestones map to Jira Versions with the same name and due date. The version description carries the milestone notes. We create Version entities before issue import and link each relevant Issue to its corresponding Fix Version/s. ProofHub's milestone-to-multiple-tasks relationship maps to Jira's multiple Issues referencing the same Version as their Fix Version/s.

ProofHub

Time Entry

maps to

Jira

Worklog

1:1
Fully supported

ProofHub time entries map to Jira Issue Worklog records. Each worklog carries the logged hours, date, author (resolved by email match to Jira User), and the associated Issue (resolved by the ProofHub task-to-Jira issue mapping). Billable/non-billable flags from ProofHub migrate to a custom worklog field billable__c on the Jira side. Jira's time tracking must be enabled in the destination project before worklogs can be imported.

ProofHub

Notes

maps to

Jira

Issue Description or Attachment

1:1
Fully supported

ProofHub standalone Notes attached to Projects migrate as Jira Project-level Description if the project description is empty, or as a Jira Issue with type Comment if the note content is task-specific and a matching issue exists. Notes content migrates as plain text or wiki markup. Formatted notes may lose styling during migration.

ProofHub

Discussion

maps to

Jira

Issue Comment

1:1
Fully supported

ProofHub Discussion threads attached to Projects or Tasks migrate to Jira Issue Comments. We preserve the thread structure by ordering comments by timestamp. Author, timestamp, and body content transfer directly. Nested replies become individual comments with the parent-child relationship noted in the comment body for manual reconstruction if needed.

ProofHub

Custom Field

maps to

Jira

Custom Field

lossy
Fully supported

ProofHub custom fields (text, textarea, dropdown, multi-select, number, percentage, currency, date, priority) map to Jira custom fields of equivalent type. We pre-create the Jira custom field schema before migration, including the field context (project and issue type association). Dropdown and multi-select values migrate as Jira custom field options. Field-level security on Jira custom fields requires admin configuration post-migration.

ProofHub

Label

maps to

Jira

Label

1:1
Fully supported

ProofHub task labels migrate as Jira Labels on the corresponding Issue. Labels are a flat string array in both platforms, making this a direct 1:1 transfer. We deduplicate label values during transformation and flag any labels exceeding Jira's character limit for manual truncation.

ProofHub

File

maps to

Jira

Attachment

1:1
Fully supported

ProofHub files attached to tasks or projects migrate as Jira Issue Attachments. We download files from ProofHub, re-upload to the mapped Jira Issue via the Jira REST API, and preserve the original filename and uploader metadata. File version history is lost; only the latest version of each file migrates. The Jira project must have attachments enabled.

ProofHub

Workflow

maps to

Jira

Workflow

lossy
Fully supported

ProofHub workflow stage names and basic transition rules are documented in a written workflow inventory that we deliver to the customer. Complex branching rules, automation triggers, and conditional logic require manual reconfiguration in Jira because Jira workflows use a different rule engine. We map ProofHub stage names to Jira statuses and include the transition sequence in the handoff document.

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.

ProofHub logo

ProofHub gotchas

High

Essential plan project count cap is not obvious in onboarding

Medium

API access requires Ultimate Control plan upgrade

Medium

File version history and proofing annotations do not export cleanly

Low

Task dependencies export as plain-linked records without lag or lead times

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

  • ProofHub proofing markup and approval decisions do not migrate

    ProofHub's built-in proofing tool stores annotation coordinates, comment threads, version comparisons, and approval decisions in a format that Jira does not natively consume. Jira has no equivalent proofing object model. We download proofed files and their annotation records as a separate archive, and we flag the approval status (approved, rejected, pending) for manual re-establishment in the destination workflow. Teams that rely on creative review workflows in ProofHub must implement a separate proofing solution post-migration, such as an Atlassian Marketplace app or an external tool like Frame.io or Zoom.

  • Task dependencies export without lag or lead time data

    ProofHub exports task dependency links (predecessor/successor) as plain relationships without lag days, lead times, or constraint types. Jira stores dependencies as Issue Links with a type (Blocks, is blocked by, Depends on) and an outward/inward flag. We map the dependency direction and create Jira Issue Links during import, but scheduling nuance (finish-to-start, start-to-start) requires manual review in the destination project plan. Teams using Gantt-style scheduling in ProofHub should validate dependency behavior in Jira after migration.

  • Jira Cloud Migration Assistant does not support ProofHub as a source

    The Jira Cloud Migration Assistant (JCMA) supports Jira Server and Jira Data Center as sources but not ProofHub or other third-party project management tools. Migrations from ProofHub to Jira Cloud require a custom CSV or API-based export process. We extract data from ProofHub via CSV export (for tasks) and API export (Ultimate Control plan only), transform the records to Jira's import format, and load via the Jira CSV importer or REST API. Teams on the Essential plan must upgrade to access the API before migration.

  • Jira issue type and status scheme differences can break imported issues

    Jira uses Status Categories (To Do, In Progress, Done) rather than raw status strings. If the imported issues reference statuses that are not defined in the destination project's workflow, the import fails or places issues in an unresolved state. We pre-build the Jira workflow schema (statuses, transitions, resolutions) before data import and map ProofHub task stages to the corresponding Jira status within the correct Status Category. Custom statuses must be created in Jira before the issue import begins.

Migration approach

Six steps for a successful ProofHub to Jira data migration

  1. Discovery and source audit

    We audit the ProofHub account across plan tier (Essential/Ultimate Control/Large Team), project count, task volume, attachment size, custom field definitions, milestone assignments, and time-entry count. We identify any projects exceeding 40 on Essential tier (triggering an upgrade recommendation), confirm API availability on Ultimate Control, and inventory the file attachment volume to size the transfer pipeline. The discovery output is a written migration scope with record counts per object and an upgrade recommendation if the Essential plan API restriction applies.

  2. Jira destination schema design

    We design the Jira destination schema: Projects (one per ProofHub project or consolidated per program), Issue Type Scheme (Story, Task, Bug, Sub-Task enabled), Statuses (mapped from ProofHub task stages to Jira statuses within correct Status Categories), custom fields (created with correct types and contexts), and Version entities (created from ProofHub milestones with release dates). If Jira has existing projects, we configure project permissions and issue security schemes before importing.

  3. Sandbox migration and reconciliation

    We run a full migration into a Jira Sandbox or a parallel development project using a representative data sample. The customer's project manager or Jira admin reconciles record counts (issues in, subtasks in, attachments in), spot-checks 20-30 issues against the ProofHub source, and validates milestone linkage. Any mapping corrections (wrong issue type, missing custom field values, status mismatches) happen here before the production migration begins.

  4. File export and attachment preparation

    We extract files from ProofHub via API download or manual export for Essential plan accounts. Files are organized by project and task association, re-named to match the Jira issue key, and staged for bulk upload. Proofing annotation records and approval decisions are exported as a separate structured JSON file and a human-readable summary document for manual re-establishment post-migration.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Versions (from ProofHub milestones), Projects, Issues (from ProofHub Tasks with tasklist mapped to issue type), Sub-Tasks, Comments (from ProofHub Discussions), Worklogs (from ProofHub Time Entries via Jira Worklog API), Custom Fields, Labels, Attachments (bulk upload via Jira REST API). Each phase emits a row-count reconciliation report before the next phase begins. Jira workflows and automations are documented separately and handed off for admin rebuild.

  6. Cutover, validation, and workflow handoff

    We freeze ProofHub writes during cutover, run a final delta import of any records modified during the migration window, then enable Jira as the system of record. We deliver the workflow inventory document, the proofing archive, and the approval status summary to the customer's admin team. We support a five-day hypercare window where we resolve any reconciliation issues. We do not rebuild ProofHub workflows as Jira automations inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

ProofHub logo

ProofHub

Source

Strengths

  • Flat-rate unlimited-users pricing across all tiers with no per-seat penalties.
  • Built-in proofing, markup, and approval tools eliminate the need for a separate design review application.
  • Multiple views—Gantt, Table, Board/Kanban, and Calendar—ship in-core without add-ons.
  • Native CSV import/export for tasks and direct import bridges from Asana and Basecamp.
  • Centralized collaboration (discussions, chat, notes, files) reduces reliance on external communication tools.

Weaknesses

  • File management and organization become difficult at scale, with no built-in cleanup or bulk-sort utilities.
  • Essential plan limits projects to 40, constraining larger teams or those managing multiple simultaneous programs.
  • Limited advanced automation features compared to platforms like ClickUp or Monday.com.
  • API access is gated to Ultimate Control plan, restricting programmatic data access for teams on the lower tier.
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 ProofHub 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

    ProofHub: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your ProofHub 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 ProofHub to Jira data migrations

Answers to the questions buyers ask most during ProofHub 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

Migrations under 5,000 tasks and 50 projects with moderate file attachments land between three and five weeks. Migrations with large files (over 50 GB), extensive time-entry histories, complex custom field schemas, or multiple Jira projects with different issue type schemes move to eight to twelve weeks because of file transfer overhead, Jira API chunking, and the schema configuration scope.

Adjacent paths

Related migrations to explore

Ready when you are

Move from ProofHub.
Land in Jira, intact.

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