Project Management migration
Field-level mapping, validation, and rollback between TimeLog and Jira. We move data and schema; workflows are rebuilt natively in Jira.
TimeLog
Source
Jira
Destination
Compatibility
3 of 10
objects map 1:1 between TimeLog and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from TimeLog to Jira is a structural migration from a Professional Services Automation platform to an agile project management tool, not a direct record copy. TimeLog organizes work around Projects containing Activities with time entries and billing rates; Jira uses a Project-Issue hierarchy with Epics, Stories, Tasks, and Bugs on backlogs and sprints. We map TimeLog Projects to Jira Projects, Activities to Jira Issues (Stories or Tasks), and preserve time entry history as Jira Worklogs linked to the correct Issue and User. TimeLog Customers map to Jira Projects or Organizations depending on the Jira edition. TimeLog Invoices, Expenses, and fixed-price Rate configurations have no native Jira equivalent; we flag these for post-migration review and document the existing schema so the customer's admin can configure Jira as a billing-tracked environment or choose to use a separate invoicing tool. Workflows, automations, and saved report definitions do not migrate; we deliver a written inventory of each for rebuild in Jira.
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 TimeLog 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.
TimeLog
Projects
Jira
Projects
1:1TimeLog Projects map directly to Jira Projects. Each Jira Project is created with the same name, description, start date, and end date as the TimeLog Project. The Jira Project key is derived from the TimeLog project code or a customer-provided prefix. Project status (Active, On Hold, Closed) maps to Jira Project archived state; we preserve the original TimeLog status as a custom field for reporting continuity.
TimeLog
Activities
Jira
Issues (Story or Task)
1:manyTimeLog Activities map to Jira Issues using the following rules: Activities with a planned scope and deliverables become Jira Stories; Activities that represent discrete one-off work items become Tasks; Activities flagged as bugs in a custom field become Jira Bug issue types. Each Jira Issue is created under the Jira Project that corresponds to its parent TimeLog Project, preserving the Project-Activity hierarchy. Activity billing method (fixed-price, time-and-material) is stored in a custom Issue field for any downstream billing tool integration.
TimeLog
Time Entries
Jira
Worklogs
1:1TimeLog Time Entries migrate to Jira Issue Worklogs. Each Worklog records the date, duration (in hours), billable/non-billable flag, and description from the TimeLog entry, linked to the Jira User corresponding to the TimeLog Employee and the Jira Issue corresponding to the TimeLog Activity. Activity timestamp ordering is preserved. We use the Jira Bulk API with chunking and exponential backoff to handle large time entry volumes. Billable hours are summed in a custom field for billing tool intake if a third-party invoicing add-on is deployed post-migration.
TimeLog
Employees
Jira
Users
1:1TimeLog Employees map to Jira Users by email address as the dedupe key. We resolve each Employee's department, role, and billing rate from TimeLog and store these as Jira User profile fields or custom fields for resource reporting. Inactive TimeLog Employees without corresponding Jira Users are held in a reconciliation queue for the customer's admin to provision or deactivate.
TimeLog
Customers
Jira
Projects or Organizations (Jira Premium/Enterprise)
lossyTimeLog Customers present a tier-dependent mapping decision. In Jira Free and Standard, there is no native Organization object, so Customers map to Jira Project-level labels or a custom field on Issues. In Jira Premium and Enterprise with Jira Product Discovery or Data Center with Organization add-ons, Customers map to Jira Organizations. We confirm the customer's Jira edition and preferred mapping during scoping. Customer currency and billing address are stored as custom fields if the customer intends to connect a billing add-on post-migration.
TimeLog
Invoices
Jira
No native Jira equivalent
lossyTimeLog Invoices have no direct Jira equivalent. Jira Software does not include invoicing or billing. We extract Invoice headers, line items, amounts, and payment status from TimeLog and deliver them as a structured CSV and JSON export for import into a billing tool such as Jira Tempo Financials, a third-party ERP, or a standalone accounting platform. Invoice-to-Activity associations are preserved in the export so that billing records can be reconciled against migrated time entries.
TimeLog
Expenses
Jira
No native Jira equivalent
lossyTimeLog Expenses (non-labor costs logged against Projects and Activities) have no native Jira equivalent. We export Expenses as a structured record set including amount, date, category, billable flag, and associated Activity. The customer provisions a third-party expense tracking add-on or standalone tool post-migration and imports the Expense export. Expense-to-Activity associations are preserved in the export for reconciliation.
TimeLog
Rates and Price Lists
Jira
Custom Fields
lossyTimeLog maintains employee rates, Activity rates, and customer-specific pricing. Rate structures do not map to any native Jira field. We export the complete rate table (Employee, Activity type, Customer tier, hourly rate, fixed rate) as a structured JSON file. The customer's admin uses this to configure a billing add-on (Tempo, Jira Financials, or third-party) with the correct rate cards post-migration.
TimeLog
Resources (Allocations)
Jira
Custom Fields or Structure (add-on)
lossyTimeLog Resource Allocations (employee hours or percentage assignments to Projects) have no native Jira equivalent. We export allocation records with Employee, Project, percentage, and effective date. For Jira environments with the Structure or BigPicture add-on, allocations map to those tools' allocation fields. For Jira without an allocation add-on, we deliver the allocation data as a CSV for manual entry or a custom script to populate custom Issue fields.
TimeLog
Custom Fields (Project/Activity)
Jira
Jira Custom Fields
lossyTimeLog custom fields on Projects and Activities require field-level discovery during scoping because they are not always included in standard API exports. We query extended field definitions from TimeLog, map each to the closest Jira custom field type (text, number, date, select, multiselect, URL), and flag any schema mismatches for post-migration validation. Jira enforces custom field context rules (custom fields are scoped to specific issue types and projects), which we configure in the destination schema before import.
| TimeLog | Jira | Compatibility | |
|---|---|---|---|
| Projects | Projects1:1 | Fully supported | |
| Activities | Issues (Story or Task)1:many | Fully supported | |
| Time Entries | Worklogs1:1 | Mapping required | |
| Employees | Users1:1 | Fully supported | |
| Customers | Projects or Organizations (Jira Premium/Enterprise)lossy | Fully supported | |
| Invoices | No native Jira equivalentlossy | Mapping required | |
| Expenses | No native Jira equivalentlossy | Fully supported | |
| Rates and Price Lists | Custom Fieldslossy | Mapping required | |
| Resources (Allocations) | Custom Fields or Structure (add-on)lossy | Mapping required | |
| Custom Fields (Project/Activity) | Jira Custom Fieldslossy | Mapping required |
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.
TimeLog gotchas
Tier-gated features create migration scope ambiguity
Fixed-price vs time-and-material billing requires rate mapping
Custom fields schema differs from standard object export
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 Jira edition assessment
We audit the source TimeLog account across tier (Starter, Professional, Enterprise), Projects and Activities with their billing methods, Employees, Customers, time entry volume, Invoice and Expense records, custom field definitions, and any active allocations. We pair this with a Jira edition assessment: Jira Free covers up to 10 users with no Organization object; Jira Standard ($7.75/user/month) covers unlimited users with no Organization; Jira Premium ($12.50/user/month) unlocks the Organization object and advanced roadmaps; Jira Data Center is for self-hosted deployments. The discovery output is a written migration scope, Jira edition recommendation, and a list of objects that will migrate 1:1 versus those that will be exported for post-migration tool configuration.
Schema design and Jira configuration planning
We design the Jira destination schema based on the discovery output. This includes Jira Project creation (one per TimeLog Project or consolidated), Issue type schemes (mapping Activity types to Story/Task/Bug), custom field creation (mapping TimeLog custom fields to typed Jira fields), custom field context configuration (scoping each field to the relevant issue types and projects), and the Customer mapping decision (Project labels for Standard, Organizations for Premium). We also produce the Worklog field mapping and the CSV/JSON export spec for Invoices, Expenses, and Rates. Schema is validated in a Jira Sandbox before production migration begins.
Sandbox migration and reconciliation
We run a full migration into a Jira Sandbox using production-equivalent data volumes. The customer's project manager and system administrator reconcile record counts (Projects in, Issues in, Worklogs in, Users in), spot-check 25-50 Issues against the TimeLog source Activities, validate custom field rendering, and confirm the Worklog timeline against a sample of TimeLog time entries. Any mapping corrections, missing custom fields, or incorrect custom field contexts are resolved before production migration begins.
Owner and user provisioning
We extract every distinct TimeLog Employee referenced on Time Entries, Activities, and Expense records and match by email against the Jira destination's User table. Any TimeLog Employee without a matching Jira User is placed in a reconciliation queue. The customer's Jira admin provisions any missing Users (active or deactivated depending on whether the employee is currently active in TimeLog). Migration cannot proceed past Worklog creation because Jira Worklogs require a valid Jira accountId for the author field.
Production migration in dependency order
We run production migration in record-dependency order: Jira Users (provisioned, validated), Jira Projects (from TimeLog Projects), Issues (Stories and Tasks from TimeLog Activities with custom fields), Worklogs (from TimeLog Time Entries via Bulk API), then Invoice and Expense export files (delivered as structured JSON/CSV for third-party billing tool import). Each phase emits a row-count reconciliation report before the next phase begins. We run a delta pass at cutover to capture any records modified during the migration window.
Cutover, validation, and post-migration handoff
We freeze TimeLog writes during cutover and run a final delta migration. We deliver the Invoice and Expense export files with full Activity associations, the Rates and Price Lists JSON, and the Resource Allocations CSV. We deliver a written Workflow and Allocation Inventory document to the customer's admin team. We support a one-week hypercare window to resolve any reconciliation issues. We do not configure third-party billing or resource planning add-ons, automate Jira automations, or rebuild TimeLog reports inside the migration scope; these are separate engagements.
Platform deep dives
TimeLog
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 TimeLog 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
TimeLog: Not publicly documented as a numeric ceiling; TimeLog commits to keeping a given API version functional for three years from its release date..
Data volume sensitivity
TimeLog 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
Answers to the questions buyers ask most during TimeLog to Jira migration scoping. Not seeing yours? Book a call.
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