Project Management migration
Field-level mapping, validation, and rollback between UpWave and Jira. We move data and schema; workflows are rebuilt natively in Jira.
UpWave
Source
Jira
Destination
Compatibility
10 of 11
objects map 1:1 between UpWave and Jira.
Complexity
CModerate
Timeline
2-3 weeks
Overview
Moving from UpWave to Jira is a structural migration that requires a manual export step on the source side because UpWave has no public REST API. We orchestrate CSV and JSON board exports directly in the browser, normalize column names to Jira Status values, and load cards as Issues via Jira's REST API with rate-limit handling and batch chunking. Subtasks flatten into Jira Subtasks with parent-issue references; assignees resolve by email against Jira's user directory. UpWave Workflow automations, attachments, and any time-tracking fields disabled at the board level do not migrate; we deliver a written inventory of active UpWave Workflow rules so the customer's admin can rebuild them in Jira's automation engine. Jira's free plan (up to 10 users) is available for small teams, with Standard at approximately $7.91 per user per month for larger teams requiring advanced permissions and project hierarchies.
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 UpWave 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.
UpWave
Board
Jira
Project
1:1Each UpWave Board maps to a Jira Project. We create the Jira Project first, assign the appropriate Project key (derived from the board name), and configure the default Issue Type scheme before card ingestion begins. Jira's project permissions and notification schemes apply from this point.
UpWave
Column
Jira
Status
1:1UpWave columns map to Jira Status values within the project's workflow. The column names become Status display names; the column order becomes the workflow sequence. If UpWave columns use color coding or custom types, we map them to Jira Labels or a custom color field in the destination. Jira Status values must belong to a configured workflow before issues can transition through them.
UpWave
Card
Jira
Issue (Story or Task)
1:1UpWave cards migrate as Jira Issues. The card title becomes the Jira Summary; the card description migrates as the Jira Description field (plain text or rich text depending on destination field configuration). Card color maps to Jira Labels with color-coded label prefixes. Due dates migrate to the Issue Due Date field; completed dates migrate to Resolution Date if the destination Jira project has a Resolved status in its workflow.
UpWave
Subtask
Jira
Subtask Issue
1:1UpWave subtasks flatten into Jira Subtask issues with the parent-card mapped to the Jira parent Issue. We use the parent card's Jira Issue key as the parentId on each subtask insert. Jira requires that the parent Issue type scheme includes Subtask as a subtask issue type; we confirm this during project setup and document any required scheme changes.
UpWave
Assignee
Jira
User (Assignee field)
1:1UpWave assignees (stored as comma-separated names per card) split into individual user records. We match by email against Jira's user directory using the Jira REST API. Unmatched assignees go to a reconciliation queue; the customer's Jira admin provisions any missing users before record import resumes. Jira requires the migrating user to have the Browse Users global permission.
UpWave
Due Date
Jira
Due Date
1:1UpWave due dates migrate directly to Jira's Due Date field. Dates export from UpWave in the timezone of the user who initiated the export; we normalize all dates to UTC before inserting into Jira. Jira Cloud stores all dates in UTC internally and displays in the user's configured timezone.
UpWave
Completed Date
Jira
Resolution Date
1:1UpWave completed dates map to Jira's Resolution Date when the card is in a closed or resolved state in the destination Jira project. We set Resolution Date only for cards that were completed in UpWave, and only when the Jira workflow includes a resolved status category.
UpWave
Estimate
Jira
Original Estimate (Time Tracking)
1:1UpWave estimate fields migrate to Jira's Original Estimate only when time tracking is enabled on the source UpWave board. Boards where time tracking was never turned on will not have this column, and Jira will not receive an estimate. We flag missing estimates in the migration report and note the board-level setting for the customer's awareness.
UpWave
Time Spent
Jira
Time Spent (Time Tracking)
1:1UpWave time-spent fields migrate to Jira's Time Spent field. Jira requires the issue to have the Aggregate Progress or Original Estimate fields set before time tracking can record spent time, so we insert estimates before logging time. Time tracking must be enabled on the Jira project before this field accepts values.
UpWave
Card Color
Jira
Label
lossyUpWave card colors (red, blue, green, yellow, orange, purple, grey) map to Jira Labels with color-prefixed values (e.g., color:red, color:blue). We create the label prefix during scoping and apply the mapping during the card-to-issue transform. Jira labels have a 255-character limit per label; color names stay well within that limit.
UpWave
Team
Jira
Project Role or Group
1:1UpWave Teams grouping boards and members map to Jira Project Roles (Developers, Administrators, Members) or Groups depending on the destination Jira project's permission scheme. We document the UpWave team membership during discovery and create matching Jira groups or project roles before assigning user memberships.
| UpWave | Jira | Compatibility | |
|---|---|---|---|
| Board | Project1:1 | Fully supported | |
| Column | Status1:1 | Fully supported | |
| Card | Issue (Story or Task)1:1 | Fully supported | |
| Subtask | Subtask Issue1:1 | Fully supported | |
| Assignee | User (Assignee field)1:1 | Fully supported | |
| Due Date | Due Date1:1 | Fully supported | |
| Completed Date | Resolution Date1:1 | Fully supported | |
| Estimate | Original Estimate (Time Tracking)1:1 | Fully supported | |
| Time Spent | Time Spent (Time Tracking)1:1 | Fully supported | |
| Card Color | Labellossy | Fully supported | |
| Team | Project Role or Group1:1 | 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.
UpWave gotchas
Attachments do not export with CSV or JSON
Workflow automations are not exposed in any export
Timezone recorded at export time, not storage time
Time tracking fields require board-level opt-in
Multi-user board exports can produce inconsistent column ordering
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 board scoping
We audit the UpWave workspace across all boards, capturing board names, column names, card counts, subtask presence, time-tracking opt-in status per board, assignee lists, and any card-level attachment flags. We also document active UpWave Workflow rules and team structures. This generates a written migration scope with board-to-project mapping, a list of boards requiring time-tracking schema setup in Jira, and the UpWave Workflow inventory requiring manual rebuild in Jira Automation.
Jira project and schema configuration
We create the destination Jira project (or projects if the UpWave workspace maps to multiple Jira projects), configure the Issue Type scheme (Epic, Story, Task, Bug, Subtask), and build the workflow mapping each UpWave column to a Jira Status. Time tracking is enabled on the project. We configure the Jira Automation project-level rules (empty at this stage; the inventory document from Step 1 is handed off for manual rebuild). Schema is validated in Jira before any data loads.
Manual UpWave export orchestration
Because UpWave has no API, we coordinate browser-based exports with the customer's UpWave admin. We export each board as CSV and JSON, capturing cards, subtasks, assignees, due dates, completed dates, estimates, time-spent values, and card colors. Large workspaces are chunked into batches of 5-10 boards per export session to avoid browser timeout. We validate export completeness (row counts, column headers) before proceeding.
Data transformation and subtask flattening
We transform the UpWave export into Jira bulk API payload format. This includes splitting comma-separated assignees into individual user references, mapping UpWave column names to Jira Status IDs, mapping card colors to Jira Labels, mapping UpWave completed dates to Jira Resolution Date where applicable, and flattening subtasks into Jira Subtask issue payloads with parent-card references resolved to Jira Issue keys.
Jira bulk import with rate-limit handling
We insert issues into Jira via the Jira REST API using batch sizes that respect Atlassian Cloud rate limits. We implement exponential backoff on 429 responses and chunk large card sets into sub-500-issue batches to avoid timeout. Subtask insertion waits for parent-issue confirmation before proceeding. We emit row-count reconciliation reports after each batch (Issues created, Issues failed, Subtasks created, Subtasks failed) for the customer to review.
Cutover, validation, and automation handoff
We freeze UpWave writes during the cutover window and run a final delta pass for any cards modified during the migration. Jira becomes the system of record once all batches validate. We deliver the UpWave Workflow inventory document to the customer's Jira admin for rebuild in Jira Automation. We support a three-day hypercare window for reconciliation issues. We do not rebuild UpWave Workflows as Jira Automation rules within the migration scope; that work is handled by the customer's admin or an Atlassian partner.
Platform deep dives
UpWave
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Moderate Project Management migration. 1 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across UpWave and Jira.
Object compatibility
1 of 8 objects need a manual workaround.
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
UpWave: Not publicly documented.
Data volume sensitivity
UpWave 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
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