Project Management migration
Field-level mapping, validation, and rollback between Monograph and Jira. We move data and schema; workflows are rebuilt natively in Jira.
Monograph
Source
Jira
Destination
Compatibility
7 of 11
objects map 1:1 between Monograph and Jira.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Monograph to Jira is a cross-domain migration: Monograph is a practice operations platform designed for architecture and engineering firms, combining project management, time tracking, and billing; Jira is Atlassian's issue-tracking and project management tool optimized for software development teams. We preserve Projects and phase structures as Jira Projects and Epics, map Monograph staff to Jira Users with role-based permissions, and convert timesheet entries to worklog-enabled Issue records. The most significant data loss risk is Monograph's billing and invoice records — Invoices, Write-offs, and project Budgets have no native Jira equivalent and require a custom field strategy or a separate financial system to be established before migration. We do not migrate Monograph Workflows as Jira automation rules; we deliver a written inventory for the customer's admin to rebuild in Jira Automation or ScriptRunner. The engagement typically runs four to eight weeks for firms with under 100 active projects and 50 staff members.
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 Monograph 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.
Monograph
Project
Jira
Project + Epic
1:1Monograph Projects map directly to Jira Projects. Within each Jira Project, we create an Epic per Monograph phase structure to preserve budget phase associations. The Jira Project key (e.g., ARCH-101) is generated from the Monograph project name or client code during migration. Project status (active, on-hold, completed) maps to Jira Project workflow states, and any project-level custom fields (billing type, contract value, client tier) become Jira Project properties or custom fields on the Epic.
Monograph
Phase
Jira
Epic
1:manyMonograph phases within a project map to Jira Epics. Each Epic inherits the parent Jira Project key and carries the phase budget value, start date, and end date as custom fields. Phases without a Monograph budget are created as Epics with zero-value budget fields. If a Monograph project has no phases, a single Epic named 'Project Scope' is created under the Jira Project to anchor any timesheet worklogs.
Monograph
Client
Jira
Organization
1:1Monograph Clients map to Jira Organizations. We extract client name, primary contact, email, phone, and address, and import them as Jira Organization fields. Client portal access settings stored as custom properties in Monograph are flagged in the migration notes as requiring Jira Service Management or a Confluence-based client portal if the same visibility is needed in Jira. Client-project linkage is preserved via the Jira Project's Organization field.
Monograph
Staff
Jira
User
1:1Monograph staff records map to Jira User accounts. Role assignments (Principal, Project Manager, Staff) map to Jira Project Roles — we create the equivalent role names in Jira Projects before importing staff. Hourly rates from Monograph are preserved as a custom field on the Jira User record for time-tracking and budget calculations. Staff without Jira accounts are placed in a reconciliation queue; the customer's admin provisions the accounts before production migration.
Monograph
Timesheet
Jira
Issue + Worklog
1:1Monograph timesheet entries map to Jira Issues (Story, Task, or Bug based on the work type in Monograph) with worklogs attached. We enable Jira's time tracking on each migrated Project before importing. Each Monograph timesheet entry becomes a Worklog with the original date, duration, billable flag, and description. The billable/non-billable flag from Monograph maps to Jira's billable worklog setting if the Jira instance has a time-tracking app installed; otherwise it is stored as a custom Issue field. Non-billable entries are logged without the billable flag.
Monograph
Invoice
Jira
Custom Field on Issue or Separate Documentation
lossyMonograph Invoices have no native Jira equivalent. We preserve invoice data by mapping Invoice Number, Issue Date, Due Date, Line Items, Amount, and Payment Status as custom fields on the Jira Epic (for project-level invoices) or on the parent Issue. Invoice PDFs are attached as Jira Issue attachments to the corresponding Epic. Write-off records from Monograph are stored as a custom text field with a structured note (write-off reason, amount, date) on the Epic. Customers should evaluate whether they need an external invoicing tool (Jira Service Management billing add-on, FreshBooks, or QuickBooks integration) to replace Monograph's native invoice generation.
Monograph
Budget
Jira
Custom Fields on Epic
lossyMonograph project budgets tied to phases map to Jira Epic custom fields. We create a numeric custom field budget_total__c, budget_spent__c (calculated from timesheet worklogs), and budget_remaining__c on each Epic. Any over-budget flags or amendment history are stored as a JSON-structured custom field budget_amendments__c on the Epic. Customers relying on Monograph's budget-vs-actual reporting should evaluate eazyBI or Power BI connectors for Jira to reproduce budget dashboards from migrated worklog data.
Monograph
Custom Fields
Jira
Custom Fields
1:1Monograph custom fields on Projects and Phases map to Jira custom fields of the equivalent data type. Text fields map to Jira Text fields, numeric fields to Number fields, date fields to Date fields, and multi-select fields to Jira Multi-select. Custom fields without a direct Jira equivalent (e.g., billing-tier dropdowns specific to Monograph) are mapped to Jira Select fields with the original values preserved as options. Custom field schema is deployed to Jira before any data import begins.
Monograph
Workflows
Jira
Documentation only
lossyMonograph Workflows automate repetitive project tasks and cannot be migrated as Jira Automation rules because the trigger models differ fundamentally. Monograph uses project-task event triggers; Jira Automation uses Issue event, scheduled, and manual triggers. We extract every active Monograph Workflow definition (name, trigger, conditions, actions) and deliver it as a written inventory with a recommended Jira Automation or ScriptRunner equivalent for each rule. The customer's Jira admin or an Atlassian partner rebuilds the automations post-migration.
Monograph
PTO / Leave Requests
Jira
Documentation only
1:1Monograph PTO balances and leave request records are extracted as a snapshot and preserved as a structured CSV with Staff ID, leave type, balance amount, and request dates. Jira has no native PTO tracking module. The CSV is handed off to the customer's HR team to import into their HRIS or to be reviewed against any PTO add-on in the Atlassian Marketplace. We do not attempt to model PTO as Jira Issues or custom fields.
Monograph
Weekly Pulse
Jira
Not migrated
1:1Monograph's Weekly Pulse feature (released Summer 2025) generates ephemeral digest summaries aggregating staffing, budget, and timeline changes. These are derived records with no independent existence — they are regenerated from the underlying Project, Timesheet, and Budget data already migrated. We do not attempt to export or import Weekly Pulse records. Customers who rely on Weekly Pulse for reporting should configure Jira Dashboard gadgets or eazyBI to reproduce equivalent staffing and budget digest views from migrated data.
| Monograph | Jira | Compatibility | |
|---|---|---|---|
| Project | Project + Epic1:1 | Fully supported | |
| Phase | Epic1:many | Fully supported | |
| Client | Organization1:1 | Fully supported | |
| Staff | User1:1 | Fully supported | |
| Timesheet | Issue + Worklog1:1 | Fully supported | |
| Invoice | Custom Field on Issue or Separate Documentationlossy | Fully supported | |
| Budget | Custom Fields on Epiclossy | Fully supported | |
| Custom Fields | Custom Fields1:1 | Mapping required | |
| Workflows | Documentation onlylossy | Mapping required | |
| PTO / Leave Requests | Documentation only1:1 | Fully supported | |
| Weekly Pulse | Not migrated1:1 | Not 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.
Monograph gotchas
PDF export is restricted to single-page project summaries
In-progress projects at migration time require special handling
Write-off records must be explicitly preserved for billing accuracy
Seat-based pricing means firm size affects plan cost
PTO balances are tracked in Monograph but may not transfer as live balances
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 migration scope definition
We audit the Monograph organization: active project count, phase structure depth, staff roster, timesheet entry volume (total and monthly average), invoice record count, client roster, and any active Workflow definitions. We pair this with a Jira tier assessment — Jira Standard ($7.91/user) covers most migrations, Premium ($15.73/user) is needed for advanced roadmaps and audit logs, and Enterprise is reserved for orgs over 50,000 users. We also confirm the accounting replacement strategy (QuickBooks integration, Xero connector, or manual export) for Monograph's invoice and billing output. The discovery output is a written scope document with record counts, Jira tier recommendation, and a list of items that require post-migration admin action.
Jira project schema design and custom field provisioning
We design the Jira project structure: one Jira Project per Monograph Project, with Epics representing Monograph phases. We provision all custom fields (budget_total__c, budget_spent__c, invoice_number__c, write_off_note__c, billing_status__c, etc.) using the Jira REST API before any data import. We configure project roles matching Monograph role names (Principal, Project Manager, Staff) and enable time tracking on each migrated Project. Custom fields are deployed via a Jira Cloud or Data Center API script into a Sandbox org first for validation.
Sandbox migration and reconciliation
We run a full migration into a Jira Sandbox environment using a representative data volume (all active projects, 30 days of timesheet history, 10% of client and staff records). The customer's project management lead spot-checks migrated Epics against Monograph source records for budget values, phase names, and client associations, and validates worklog timestamps. We resolve any field mapping corrections before production migration. This step also validates that the Jira role structure matches the firm's access requirements and that the timesheet-to-worklog conversion approach is approved by the project management team.
Staff and client provisioning
We extract every distinct Monograph staff member and client referenced in the migration scope. Staff records are matched to Jira User accounts by email; any staff without a Jira account enter a reconciliation queue for the customer's Jira admin to provision. Client records are imported as Jira Organizations. Client portal access settings from Monograph are flagged in the handoff notes as requiring Jira Service Management configuration or a portal add-on for any client-facing visibility.
Production migration in dependency order
We run production migration in record-dependency order: Jira Organizations (Clients), Jira Users (Staff), Jira Projects with Epic structure (Projects and Phases), Worklogs (Timesheets mapped to Issue worklogs), and custom field data (Invoice fields, Budget fields, billing metadata on Epics). Each phase emits a row-count reconciliation report before the next phase begins. Worklogs are imported via the Jira REST API with rate-limit handling and exponential backoff. Invoice PDFs are attached to their parent Epic as Jira Issue attachments.
Cutover, validation, and Workflow rebuild handoff
We freeze Monograph writes during cutover, run a final delta migration of any records created or modified during the migration window, then set Jira as the system of record. We deliver the Workflow inventory document to the customer's Jira admin team with recommended Jira Automation equivalents for each Monograph Workflow rule. We support a one-week hypercare window to resolve reconciliation issues raised by the project management team. We do not rebuild Monograph Workflows as Jira Automation rules inside the migration scope; that is a separate engagement or an internal Jira admin task. We do not configure Jira Service Management for client portal access; that is scoped separately if the customer requires it.
Platform deep dives
Monograph
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 Monograph 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
Monograph: Not publicly documented.
Data volume sensitivity
Monograph 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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FAQ
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