Project Management migration
Field-level mapping, validation, and rollback between Demand Metric and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Demand Metric
Source
Jira
Destination
Compatibility
8 of 11
objects map 1:1 between Demand Metric and Jira.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from Demand Metric to Jira is a cross-platform structural migration that requires CSV-based extraction from a source environment with no documented public API. Demand Metric organizes work around Projects and Tasks with tagging and calendar views; Jira uses Projects containing Issues of multiple types (Epic, Story, Task, Subtask, Bug) with a formal subtask hierarchy. We preserve nested task relationships as Jira Subtasks, map Demand Metric priority levels (Critical, High, Medium, Low) to Jira's Priority system, and recreate custom task fields as Jira custom fields with explicit issue-type context before import. Workflows, Jira Automation rules, and SLA configurations do not migrate as code — we deliver a written inventory of every automation requiring rebuild by the customer's Jira admin. The Jira Cloud Migration Assistant is designed to never overwrite or merge existing objects, so any consolidation logic must be designed and applied post-migration.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Demand Metric 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.
Demand Metric
Project
Jira
Project
1:1Demand Metric Projects map to Jira Projects. We preserve the project name, description, start/due dates, and status. Jira requires a Project Key (e.g., MKT, ENG) that we derive from the first 2-3 characters of the project name; if the key is already in use in the destination Jira site, we append a numeric suffix and flag for the customer's admin to confirm the final key before import begins.
Demand Metric
Task
Jira
Story or Task
1:manyDemand Metric Tasks map to Jira Story or Task based on their position in the hierarchy. Tasks with child subtasks in Demand Metric map to Jira Story (which natively supports Subtask children). Standalone tasks map to Jira Task. We apply this distinction during the CSV transform step before Jira API insertion, using the presence of a parent_task_id field in the exported data as the determinant.
Demand Metric
Subtask
Jira
Subtask
1:1Demand Metric subtasks (child tasks within a parent task) map directly to Jira Subtask issue type with the Jira Parent Issue field set to the migrated parent task's Jira issue key. Jira requires Subtasks to be enabled per project — we confirm Subtask issue type is active in the destination project before this phase. We preserve the subtask title, description, assignee, due date, and priority.
Demand Metric
Tag
Jira
Label
1:1Demand Metric tags are flat string labels applied to tasks across projects. We map them to Jira Labels scoped per project. Jira Labels do not inherit cross-project behavior — the same tag label exists independently in each project. During discovery we extract the complete tag vocabulary, and the customer's Jira admin decides whether to apply labels selectively per project or to the entire workspace. Tag-based filter logic in Demand Metric does not transfer.
Demand Metric
Team Member
Jira
User
1:1Demand Metric assignees are extracted by email from the task export. We resolve against the destination Jira site's User table by email match. Any Demand Metric assignee without a matching Jira user is held in a reconciliation queue for the customer's Jira admin to provision before record import resumes. Inactive Jira users can receive imported issues if the admin explicitly sets Allow inactive users to be assignees in Jira settings.
Demand Metric
Custom Task Field
Jira
Custom Field
lossyDemand Metric custom fields on tasks require pre-creation as Jira Custom Fields before any data can migrate. We identify all custom field names and data types during discovery (text, number, date, select, multi-select) and configure the Jira schema in a Sandbox pass first. Jira Custom Fields require explicit issue-type context — we assign each custom field to the relevant issue types (Story, Task, Subtask) in the destination project. A missing field context causes the known Jira import error JRASERVER-28006.
Demand Metric
Marketing Calendar Milestone
Jira
Fix Version (Milestone)
1:1Demand Metric's marketing calendar milestones (date-bound events used to anchor project timelines) map to Jira Fix Version with Type set to Milestone. We extract milestone name, description, and target date from the Demand Metric marketing calendar export and create Jira Fix Versions before issue migration begins, then link each relevant issue to the corresponding Fix Version via the Jira Fix Versions field during import.
Demand Metric
Task Comment
Jira
Comment
1:1Demand Metric task comments migrate as Jira Comments on the corresponding Jira issue. Comment body, author (resolved via email match to Jira User), and timestamp are preserved. Jira's comment visibility settings (project role, group) default to the Jira admin's project-level comment permissions; we document the default and recommend post-migration review of any restricted comments.
Demand Metric
Task Attachment
Jira
Attachment
1:1Demand Metric task attachments migrate as Jira Attachments on the corresponding issue. We extract files from the Demand Metric CSV export rows that reference attachment URLs, download each file, and upload to Jira via the Jira REST API attachment endpoint. Jira's attachment size limit (10 MB per file on Standard, 50 MB on Premium) is enforced; any file exceeding the limit is flagged in the reconciliation report for manual re-upload.
Demand Metric
Task Priority
Jira
Priority
lossyDemand Metric priority levels (Critical, High, Medium, Low, None) map to Jira Priority values (Highest, High, Medium, Low, Lowest). We apply this mapping as a configuration step in the transform script before Jira insertion. Any Demand Metric task with no priority set defaults to Jira Medium priority. The Jira Priority field must be available on the relevant issue types in the destination project's field configuration.
Demand Metric
Task Status
Jira
Status
1:1Demand Metric task statuses (To Do, In Progress, Done, On Hold) map to the corresponding statuses in the destination Jira project's workflow. We extract the status column from the Demand Metric CSV export and apply the Jira Status ID during the issue transform step. Jira workflows may use different status names or include additional transition states not present in Demand Metric — we flag these discrepancies in the scoping document and the customer's Jira admin selects the appropriate target status during configuration review.
| Demand Metric | Jira | Compatibility | |
|---|---|---|---|
| Project | Project1:1 | Fully supported | |
| Task | Story or Task1:many | Fully supported | |
| Subtask | Subtask1:1 | Fully supported | |
| Tag | Label1:1 | Fully supported | |
| Team Member | User1:1 | Fully supported | |
| Custom Task Field | Custom Fieldlossy | Fully supported | |
| Marketing Calendar Milestone | Fix Version (Milestone)1:1 | Fully supported | |
| Task Comment | Comment1:1 | Fully supported | |
| Task Attachment | Attachment1:1 | Fully supported | |
| Task Priority | Prioritylossy | Fully supported | |
| Task Status | Status1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Demand Metric gotchas
No public API — data must be extracted manually
Template library content is not migratable project data
Cross-project tagging taxonomy requires re-building on destination
Jira gotchas
Unsupported workflow validators silently skipped during migration
Custom fields converted to flat text labels when migrating to non-Jira platforms
Historical status-change timestamps lost when exporting without a Marketplace plugin
Attachment import failures from oversized files and JQL reference corruption
Points-based API rate limits enforced on Jira Cloud apps from March 2026
Pair-specific challenges
Migration approach
Discovery and extraction playbook
We audit the Demand Metric workspace via screen walkthrough with the customer, identifying all active projects, tasks, subtasks, tags, custom fields, team members, and any attachment references. Since Demand Metric has no API, we build a custom extraction playbook specifying which data lives in which view, which views offer CSV export, and which require manual download. We extract the complete tag vocabulary, custom field definitions, and task hierarchy (including parent_task_id for nested tasks) to ensure subtask relationships are preserved during extraction.
Jira schema design in Sandbox
We design the destination Jira schema in a Sandbox environment before touching production. This includes creating Jira Projects with appropriate keys, enabling Subtask issue type per project, creating Jira Custom Fields with typed configurations (text, number, date, select, multi-select), assigning custom fields to relevant issue types with explicit field contexts, mapping Demand Metric statuses to Jira workflow statuses, and creating Fix Versions of type Milestone for any marketing calendar milestones. The Jira admin reviews and approves the schema configuration in Sandbox before we proceed.
Sandbox migration and reconciliation
We run a full test migration into the Jira Sandbox using production-like data volume. The customer reconciles record counts (Projects in, Issues in, Subtasks in), spot-checks subtask-parent relationships, verifies custom field values, confirms label application, and validates Fix Version assignment. Any mapping corrections — wrong issue type, missing custom field context, incorrect status mapping — are applied to the transform logic before production migration. This pass is the last opportunity to catch schema issues without affecting production data.
Owner reconciliation and Jira user provisioning
We extract every distinct assignee email from the Demand Metric task export and match against the destination Jira site's User table. Assignees without a matching Jira user are listed in a reconciliation report with the count of affected issues. The customer's Jira admin provisions any missing users (active or inactive) before production migration begins. Migration cannot reliably proceed past this step because Jira requires a valid assignee user key on each issue insert.
Production migration in dependency order
We execute production migration in this order: Jira Users (validated), Projects (with project key collision check), Fix Versions and Milestones (so that version references are available during issue insert), Custom Fields (created with correct context), then Issues (Stories and Tasks) with subtasks last. Each phase emits a row-count reconciliation report. Jira API writes run in batches of 50-100 with rate-limit backoff. Any issue that fails validation (missing required field, invalid custom field context) is captured in an error log and retried after the admin resolves the schema issue.
Cutover, validation, and automation rebuild handoff
We freeze Demand Metric writes during the cutover window, run a delta pass to capture any records modified during migration, then enable Jira as the system of record. We deliver a migration summary report: record counts by type, list of items not migratable (attachments over size limit, unmapped assignees), and a written automation inventory for every Jira Automation rule detected or requested by the customer. We do not rebuild automations or workflows inside the migration scope — that is a separate engagement or an internal Jira admin task. We support a one-week hypercare window for reconciliation issues raised during the first days of Jira use.
Platform deep dives
Demand Metric
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Demand Metric and Jira.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Demand Metric: Not applicable — no public API endpoints are published..
Data volume sensitivity
Demand Metric doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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Other ways to leave Demand Metric
Other ways to arrive at Jira
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