Project Management migration
Field-level mapping, validation, and rollback between Zenkit and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Zenkit
Source
Jira
Destination
Compatibility
7 of 12
objects map 1:1 between Zenkit and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Zenkit to Jira is a structural migration that requires careful schema translation. Zenkit organizes work as Collections (Workspaces) containing Lists (Projects) with Items (Issues), while Jira uses Projects containing Issues with a fixed hierarchy of Epics, Stories, Tasks, and Bugs. Zenkit's flexible custom field model, including select, multi-select, reference, formula, and aggregation types, requires explicit field-type mapping to Jira's custom field equivalents before any data moves. Zenkit's bi-directional Reference fields map to Jira Issue Links (Blocks, Is Blocked By, Relates To), with circular references resolved to a single directional link. Automations do not migrate; we deliver a written inventory of every Zenkit automation rule with its trigger, conditions, and a recommended Jira automation equivalent for the customer's admin to rebuild post-migration. We do not migrate Views, Global Search, or saved filters as these are UI-layer constructs.
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 Zenkit 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.
Zenkit
Collection
Jira
Project
1:manyZenkit Collections are top-level containers analogous to Jira Projects. Each Collection maps to one Jira Project, and we set the Project key based on the Collection name (uppercased, stripped of spaces, max 10 characters). If the customer has multiple Collections and prefers to consolidate them into fewer Jira Projects, we map Collections to Jira Project categories or use Project prefixes to preserve namespace isolation. Tier-based Collection quotas (Personal: 100, Plus: 1000, Business: 5000, Enterprise: unlimited) are validated against the destination Jira tier's project limits before migration.
Zenkit
List
Jira
Project Component or Issue Type scheme
1:manyZenkit Lists live inside Collections and each has its own field schema, making them closer to Jira Projects than to Jira sub-objects. We map each List to a Jira Project Component within its parent Collection-Project, or we create separate Jira Projects if the Lists have fundamentally different workflows or issue types. The customer's preference is captured during scoping: consolidated (fewer Projects with Components) or split (one Project per List). Lists with custom statuses map to Jira Status Categories (To Do, In Progress, Done) and individual Status values.
Zenkit
Item
Jira
Issue
1:1Zenkit Items are the core record type and map 1:1 to Jira Issues. Standard Item fields (name, due date, assignee, priority) map to Jira Summary, Due Date, Assignee, and Priority. Custom fields map to Jira custom fields of the matching type (see Custom Field mapping). Each Item's original Zenkit ID is preserved in a Jira custom field zenkit_item_id__c for audit and cross-reference. Items are imported in topological order relative to their Sub-items and Reference dependencies so that parent records exist before child records.
Zenkit
Custom Field
Jira
Custom Field
lossyZenkit field types map to Jira custom field types as follows: Zenkit Text to Jira Text Field (single line) or Text Area (long text); Zenkit Number to Jira Number Field; Zenkit Date to Jira Date Picker; Zenkit Checkbox to Jira Checkbox; Zenkit Select to Jira Single Select; Zenkit Multi-select to Jira Labels or Multi-select; Zenkit Formula and Aggregation fields map to Jira Calculated Number fields (if the destination is Jira Data Center with ScriptRunner) or are documented as unsupported and preserved as read-only custom fields for manual re-entry. Reference fields map to Jira Issue Links (see Reference mapping).
Zenkit
Reference (Relational Link)
Jira
Issue Link
1:1Zenkit's bi-directional Reference fields connect Items across Lists, acting as a lightweight relational database. We extract the full reference graph from Zenkit's JSON export, resolve each Reference to its target Item ID, then map it to a Jira Issue Link relationship. The default link type is 'Relates To'. If the Reference has a directional semantic (e.g., 'blocks' or 'depends on'), we map to the corresponding Jira link type. Circular References are detected and collapsed to a single 'Relates To' link to prevent infinite loops in Jira's link index. All original Reference metadata is preserved in the zenkit_reference__c field on the Jira Issue Link for audit.
Zenkit
Label
Jira
Label
1:1Zenkit Labels (flexible tag fields on Items) map directly to Jira Labels. We extract the full label taxonomy from Zenkit and bulk-create the corresponding Jira Label values before Item import so that label autocomplete works immediately. Labels used for categorization map to Jira Labels; if a customer used Labels for numeric scoring or boolean flags, we map those to Jira custom fields instead during scoping.
Zenkit
Comment
Jira
Comment
1:1Zenkit Comments attach threaded discussions to Items with body, author, and timestamp. We map them to Jira Comments on the corresponding Issue. Comment body migrates as rich text, stripping or escaping HTML markup from Zenkit's CSV export to produce clean text in Jira's comment renderer. Mentions of other Zenkit users are preserved as @mention text and documented in the handoff notes for the customer's admin to re-link in Jira. Comment timestamps are preserved exactly to maintain the activity timeline ordering.
Zenkit
Sub-item
Jira
Sub-task
1:1Zenkit Items can contain Sub-items, creating a one-level hierarchy. We map Sub-items to Jira Sub-tasks linked to their parent Issue via the Jira Subtask subtask issue type. Sub-items have their own fields, assignees, and due dates that migrate as subtask fields. Jira Sub-task creation requires the parent Issue to exist first, so we import all parent Items before any Sub-items, using batched insert with the Jira Bulk API to maintain parent-child ordering.
Zenkit
Attachment
Jira
Attachment
1:1Zenkit Attachments are files linked to Items. We download all attachments from Zenkit to local storage during the extraction phase, map each attachment to its target Jira Issue by Zenkit Item ID, then re-upload via the Jira REST API. Attachments with null filenames are flagged and excluded from migration; the customer must assign a valid filename before re-importing. File size limits apply per Jira tier (Jira Cloud: 32 MB per file; Jira Data Center: configurable, typically 50 MB). Attachments exceeding the destination limit are documented with size details for the customer to decide whether to host externally and link.
Zenkit
Archived Item
Jira
Issue (Closed status)
1:1Zenkit Items that are archived export as inactive records. We map archived Items to Jira Issues with status set to the appropriate closed state (Done, Closed, or Resolved) in the target project's workflow. The original archived status is preserved in a custom field zenkit_archived__c for reporting. Archived Items are imported after active Items so they do not pollute the active workflow during migration.
Zenkit
Views
Jira
Board (Kanban)
lossyZenkit supports Kanban, Gantt, Table, Calendar, Mind Map, and other view types. Views are display configurations, not separate data. We migrate the underlying Items and Fields (see Item and Custom Field mappings) and document the dominant view type per List in the migration inventory. Jira Boards are rebuilt from the imported Issues by the customer's admin post-migration. Saved Zenkit filters are documented as named filter specifications and recreated manually in Jira.
Zenkit
Automation Rule
Jira
Jira Automation Rule
lossyZenkit Business-tier automation rules (triggers based on field changes, assignments, due dates, or comments) have no export mechanism. We capture every automation during the discovery phase, document its trigger type, conditions, and actions, and produce a written specification that maps each rule to its Jira Automation equivalent. The customer's Jira admin rebuilds the rules post-migration. We do not migrate automations as code.
| Zenkit | Jira | Compatibility | |
|---|---|---|---|
| Collection | Project1:many | Fully supported | |
| List | Project Component or Issue Type scheme1:many | Fully supported | |
| Item | Issue1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Reference (Relational Link) | Issue Link1:1 | Fully supported | |
| Label | Label1:1 | Fully supported | |
| Comment | Comment1:1 | Fully supported | |
| Sub-item | Sub-task1:1 | Fully supported | |
| Attachment | Attachment1:1 | Fully supported | |
| Archived Item | Issue (Closed status)1:1 | Fully supported | |
| Views | Board (Kanban)lossy | Mapping required | |
| Automation Rule | Jira Automation Rulelossy | 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.
Zenkit gotchas
Tier-based workspace and item quotas are migration-critical
References require field-level mapping to maintain relational integrity
Comments and rich text HTML export may break CSV formatting
Automations do not export natively and must be recreated
Global Search and cached filters do not migrate
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 field inventory
We audit every Zenkit Collection and List in scope: field schemas (standard and custom), Item counts, Sub-item depth, Reference graph density, attachment volume and file size distribution, archived Item count, and automation rule inventory. We export via Zenkit's native JSON export (Business/Enterprise API) or CSV (all tiers) and parse the schema to produce a field-type matrix. We also assess the destination Jira instance: project count, existing issue types, custom field inventory, permission schemes, and available Jira Automation rules. The discovery output is a written scope document with the object mapping table, estimated row counts per entity type, and any fields flagged as unsupported or requiring post-migration rework.
Schema design and custom field provisioning
We pre-create Jira custom fields to match Zenkit's field types, apply them to the relevant Screen schemes, and add them to Page Layouts for the target issue types. Formula, aggregation, and reference fields are provisioned as read-only Number or Text fields with their last Zenkit value, and documented as requiring post-migration app-based reimplementation. We configure Jira Issue Link types (Relates To, Blocks, Is Blocked By) and enable Sub-task issue type on the target projects. All schema changes deploy to a Jira Sandbox or non-production environment first for validation.
Reference graph resolution and topological sort
We parse Zenkit's JSON export to extract every Reference relationship, build the directed graph of Item-to-Item links, detect circular references, and resolve each Reference to a Jira Issue Link. We produce a dependency-ordered import queue where parent Items (referenced Items) land before child Items (Items that reference others), ensuring that every Jira Issue Link resolves at insert time. Circular references are collapsed to a single Relates To link with both original IDs preserved in the link metadata. This step is unique to Zenkit-to-Jira migrations and is not required when migrating from tools with uni-directional link models.
Sandbox validation and reconciliation
We run a full migration into the customer's Jira Sandbox using production-like data volume. We reconcile record counts (Collections > Projects, Lists > Components or Projects, Items > Issues, Comments, Attachments), spot-check 25-50 random Issues for field-level accuracy, and validate that all Issue Links resolve correctly and that Sub-tasks attach to the correct parent. Any mapping corrections (field type mismatches, missing picklist values, permission errors) are resolved in this phase. The customer signs off on the sandbox results before production migration begins.
Production migration in dependency order
We run production migration in the validated order: Jira Projects and Components (from Collections and Lists), Jira custom fields and link types, Zenkit Items as Jira Issues with all standard and custom fields mapped, Sub-items as Jira Sub-tasks, Comments preserving author and timestamp, Issue Links from the resolved Reference graph, Attachments re-uploaded via the Jira REST API, Archived Items as closed Issues, and Labels bulk-created before Item import. Each phase emits a row-count reconciliation report. Any record rejected by Jira (validation rule, required field, permission) is logged, corrected in the source extract, and retried in the next batch until a zero-error state is reached.
Cutover, validation, and automation rebuild handoff
We freeze Zenkit writes during the cutover window, run a delta migration of any records modified during migration, then enable Jira as the system of record. We deliver the migration handoff package: the Zenkit Item ID to Jira Issue Key lookup table, the automation inventory with Jira Automation equivalents, the field-type gap report (formula/aggregation fields requiring post-migration rework), and the Reference graph documentation. We support a five-business-day hypercare window for reconciliation issues raised by the customer's team. We do not rebuild Zenkit automations as Jira Automation rules inside the migration scope; that work is handled by the customer's Jira admin using our written inventory.
Platform deep dives
Zenkit
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 Zenkit 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
Zenkit: Not publicly documented.
Data volume sensitivity
Zenkit 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 Zenkit to Jira migration scoping. Not seeing yours? Book a call.
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