Project Management migration
Field-level mapping, validation, and rollback between TimeHero and Jira. We move data and schema; workflows are rebuilt natively in Jira.
TimeHero
Source
Jira
Destination
Compatibility
8 of 10
objects map 1:1 between TimeHero and Jira.
Complexity
CModerate
Timeline
2-4 weeks
Overview
Moving from TimeHero to Jira is a structural migration: TimeHero's AI-driven adaptive scheduling engine produces tasks organized by calendar availability and capacity, while Jira uses explicit issue hierarchies (Epics, Stories, Tasks, Subtasks) with manually configured sprints. The most significant constraint is that TimeHero exposes no public API, so all source data must be extracted through the CSV export available only on the Premium plan ($22-27 per user per month). We guide customers through the export process, transform the CSV rows into Jira issue records, and ingest via the Jira REST API. We preserve both the current scheduled date and the original due date from TimeHero as separate Jira fields so the destination system retains full scheduling context. Workflow templates, recurring task recurrence rules, and adaptive scheduling automation do not migrate; we deliver a written rebuild checklist for these. Jira's native worklog model captures time-tracking data that was embedded as duration fields in TimeHero tasks, and Jira's built-in time tracking replaces TimeHero's timer-based logging at the task level.
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 TimeHero 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.
TimeHero
Task
Jira
Issue (Task or Story)
1:1TimeHero tasks map to Jira issues with Jira issuetype set to Story for customer-facing or deliverable work and Task for internal work. TimeHero title maps to Jira Summary; TimeHero work estimate maps to Jira Original Estimate (custom field or Time Tracking); TimeHero actual duration maps to Jira Time Spent via worklog; TimeHero remaining time maps to a custom Remaining Estimate field. Both the original due date and the current TimeHero scheduled date are preserved as separate Jira custom fields so that scheduling context is not lost during migration.
TimeHero
Project/Folder
Jira
Jira Project
1:1TimeHero projects and folders export as Jira Projects. We create a Jira Project per TimeHero project or folder, preserving the project name and using it as the Jira Project Key prefix (e.g., TH-PROJ becomes a Jira project with key THPROJ). The project configuration (issue types available, default workflow, field configuration) is designed during the pre-migration Jira configuration phase before data ingestion begins.
TimeHero
Time Entry (duration fields)
Jira
Issue Worklog
1:1TimeHero's actual duration and remaining time embedded in task records map to Jira Worklog entries on the corresponding Jira issue. Each worklog records the duration, the date the work occurred (from the TimeHero completion or activity date), and the author (resolved via user email match against Jira users). Time tracking must be enabled on the Jira project before migration ingestion begins.
TimeHero
Recurring Task (recurrence pattern)
Jira
Jira Automation Rule
lossyTimeHero recurring task patterns (daily, weekly, monthly, custom interval) are extracted and documented during migration scoping. Jira has no native recurring issue feature, so we deliver a written rule book listing each recurring task's recurrence pattern (frequency, interval, start date, end condition) with the equivalent Jira Automation trigger configuration. The customer's Jira admin implements the automation rules post-migration.
TimeHero
Assignee
Jira
Jira User
1:1TimeHero assignee information maps to Jira User records via email address lookup. Any assignee with no matching Jira user is flagged in a reconciliation queue before migration ingestion. The customer provisions missing Jira users (active or inactive matching the TimeHero user status) before the main migration phase begins.
TimeHero
Priority
Jira
Priority
1:1TimeHero priority levels (Critical, High, Medium, Low or numbered) map directly to Jira Priority values. Jira's default priority scheme (Highest, High, Medium, Low, Lowest) accommodates the TimeHero range. We create a priority mapping table during scoping and apply it as the Jira Priority field during issue ingestion.
TimeHero
Calendar Events (context)
Jira
Issue (optional import)
1:1TimeHero uses Google and Outlook calendar events as scheduling context rather than storing them as primary records. If the customer wants historical meeting commitments preserved as Jira issues (e.g., sprint planning sessions, stakeholder reviews), we can optionally import them as Jira issues with issuetype = Task and a label indicating calendar-origin. This is an opt-in scope item confirmed during discovery.
TimeHero
Risk Indicator
Jira
Issue Labels or Linked Issues
lossyTimeHero risk flags (tasks at risk due to deadline proximity or scheduling conflict) are computed values not stored fields. We extract the triggering conditions — deadline date, assigned capacity, conflict timestamp — and surface them as Jira labels (risk/ deadline-at-risk, risk/ capacity-overload) or as linked Jira issues (Blocks relationship) to the at-risk task. This preserves risk awareness without a direct equivalent field.
TimeHero
Workload Report data
Jira
Jira Board and Backlog
1:1TimeHero workload reports showing team capacity and task distribution are derived from underlying task data. We extract all assigned tasks, their due dates, and assignees, then create Jira issues under the appropriate project. Once ingested, Jira's native board views and sprint burndown charts reproduce the workload overview that TimeHero provided.
TimeHero
Asana Integration data
Jira
Issue
1:1TimeHero's Asana connector syncs assigned tasks from Asana into the TimeHero inbox for scheduling. Any Asana-assigned tasks that were synced into TimeHero and now need to land in Jira are identified by their integration-source label during scoping. We migrate these as Jira issues using the same assignee and scheduling context that was stored in TimeHero, flagging them with an integration-source label for traceability.
| TimeHero | Jira | Compatibility | |
|---|---|---|---|
| Task | Issue (Task or Story)1:1 | Fully supported | |
| Project/Folder | Jira Project1:1 | Fully supported | |
| Time Entry (duration fields) | Issue Worklog1:1 | Fully supported | |
| Recurring Task (recurrence pattern) | Jira Automation Rulelossy | Fully supported | |
| Assignee | Jira User1:1 | Fully supported | |
| Priority | Priority1:1 | Fully supported | |
| Calendar Events (context) | Issue (optional import)1:1 | Fully supported | |
| Risk Indicator | Issue Labels or Linked Issueslossy | Fully supported | |
| Workload Report data | Jira Board and Backlog1:1 | Fully supported | |
| Asana Integration data | Issue1:1 | 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.
TimeHero gotchas
CSV export is gated behind Premium plan
No public API or documented REST endpoints
Workflow templates are non-portable configuration
Over-automation can reschedule tasks silently
Timesheet export lacks attachment references
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
Plan confirmation and Premium export enablement
We confirm the customer has or will upgrade to the TimeHero Premium plan for the duration of the export phase. We provide a written export checklist listing every project and folder that needs to be exported via CSV from the TimeHero web interface. The customer downloads each CSV file and shares it with us via a secure transfer method. We validate the CSV structure (column headers, row counts, date formats) before proceeding to transformation.
Jira project configuration
We design and configure the Jira destination before any data ingestion. This includes creating one Jira Project per TimeHero project, enabling Time Tracking on each project, configuring the available Issue Type Scheme (Epic, Story, Task, Subtask), setting up the Jira Status and Workflow, and creating the custom fields needed to hold TimeHero-specific data (original_due_date__c, current_scheduled_date__c, timehero_task_id__c). Jira configuration is deployed to a sandbox or staging project first for validation.
CSV transformation and mapping
We parse the TimeHero CSV exports and apply a transformation layer that maps each CSV column to the corresponding Jira field. This includes splitting combined duration fields (estimate, actual, remaining) into Jira's time tracking fields and worklog entries, mapping priority values to Jira Priority IDs, resolving assignee emails to Jira User keys via lookup, and writing both original due date and current scheduled date to the custom date fields. The transformation output is a set of Jira bulk issue creation payloads ready for API ingestion.
Owner and user reconciliation
We extract every distinct assignee and owner from the TimeHero CSV and match them by email address against the Jira destination's user directory. Any assignee with no matching Jira user is placed in a reconciliation queue. The customer's Jira admin provisions missing users before migration ingestion resumes. This step gates the main ingestion phase because Jira requires a valid Assignee field or a resolution strategy (Unassigned, or a fallback system user) for every issue.
Jira issue ingestion via REST API
We ingest all transformed issues into Jira via the Jira REST API, using bulk issue creation endpoints with chunking for large datasets. Time tracking is enabled per project and worklogs are created per issue using the Time Spent values from TimeHero. We apply labels for risk indicators and integration-source flags. Jira custom field values for original due date and current scheduled date are set during ingestion. Each ingestion batch produces a reconciliation report comparing CSV row count to Jira issue count.
Recurring task and workflow rebuild handoff
We deliver a written rebuild specification listing every recurring task with its recurrence pattern (frequency, interval, start date, end condition) mapped to a Jira Automation rule trigger configuration. Workflow template configurations from TimeHero Premium are documented as a checklist for the customer to manually reconfigure in Jira. Attachments are listed per issue for manual re-upload. We conduct a handoff session with the customer's Jira admin and provide a reconciliation summary report within five business days of ingestion completion.
Platform deep dives
TimeHero
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 TimeHero 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
TimeHero: Not publicly documented.
Data volume sensitivity
TimeHero 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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