Project Management migration

Migrate from BigPicture to monday Work Management

Field-level mapping, validation, and rollback between BigPicture and monday Work Management. We move data and schema; workflows are rebuilt natively in monday Work Management.

BigPicture logo

BigPicture

Source

monday Work Management

Destination

monday Work Management logo

Compatibility

77%

10 of 13

objects map 1:1 between BigPicture and monday Work Management.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

BigPicture is a Jira plugin that layers portfolio-level constructs on top of Jira issues, storing Boxes, Gantt configurations, resource assignments, scope trees, and risk registers as BigPicture module data. There is no public REST API for BigPicture; all extraction routes through Jira's REST API or BigPicture's Gantt export UI, which caps at 2,000 tasks per operation and requires chunking for large programmes. monday.com uses a flat board-item-column model with no native portfolio Box equivalent, so we map BigPicture programme Boxes to a top-level monday.com board that groups linked boards or uses Items with subitems to preserve the programme structure. Gantt dependencies export from BigPicture as MS Project MPP/XML and are re-created in monday.com's dependency column. Resource workloads, risk registers, and custom BigPicture fields map to monday.com number, date, status, and label columns. Workflows, automations, and Jira workflow state references do not migrate; we deliver a written inventory for the customer's admin to rebuild in monday.com's automation engine.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

BigPicture logo

BigPicture

What's pushing teams away

  • Pricing is opaque and scales per-user with no free or read-only tier, making it costly for organisations with large passive audiences in Jira.
  • Permissions and role configuration become disproportionately complex as team size grows, with no distinction between active collaborators and read-only viewers at the license level.
  • Export capabilities cap out at 2,000 tasks per operation, blocking teams that need to export full-programme data in a single pass.
  • Performance degrades noticeably on large instances, with known latency and timeout issues in certain versions.
  • Some teams find they outgrow the Jira-centric model and move to standalone PPM platforms with broader reporting and cross-system integration.

Choosing

monday Work Management logo

monday Work Management

What's pulling them in

  • Lowest onboarding friction of any mid-market PM tool — drag-and-drop boards and colorful UI mean non-technical team members contribute from day one without training.
  • Highly customizable board structure lets teams model their actual workflow rather than forcing a predefined template onto their process.
  • Generous free forever plan with two seats lets small teams or solo users validate the platform before committing budget or migrating data from elsewhere.
  • Integrations with Slack, Zoom, Google Drive, and CRM tools keep monday.com as a coordination hub rather than requiring teams to switch context constantly.
  • Multiple view modes — Kanban, Calendar, Gantt, Map, Chart — give different team members the visualization they prefer without switching tools.

Object mapping

How BigPicture objects map to monday Work Management

Each row shows how a BigPicture object lands in monday Work Management, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

BigPicture

Jira Projects

maps to

monday Work Management

monday.com Workspaces and Boards

1:1
Fully supported

Jira projects map to monday.com boards. Each Jira project becomes a board in monday.com, preserving the project key as a board name prefix. We map Jira project roles (lead, member) to monday.com board owners and subscribers. If BigPicture programmes span multiple Jira projects, we group the resulting monday.com boards under a single workspace to replicate the programme-level view.

BigPicture

Issues (Tasks)

maps to

monday Work Management

monday.com Items

1:1
Fully supported

Jira issues migrate to monday.com items with all standard fields (summary, description, status, priority, assignee, reporter, fix version) mapped to equivalent monday.com columns. Jira issue key is preserved as a text field for cross-reference. Subtasks migrate as monday.com subitems attached to the parent item. Jira labels map to monday.com tags.

BigPicture

Box (Programme)

maps to

monday Work Management

monday.com Board Group or Linked Board Structure

1:many
Fully supported

BigPicture programme Boxes have no native monday.com equivalent. We create a top-level monday.com board representing the programme, with the linked Jira projects represented as separate boards linked via the Integrations (Zapier/Make) or mirrored items. Alternatively, we use monday.com board groups for programme-level grouping and preserve the Box name and description in a programme document board for admin reference.

BigPicture

Gantt Chart (Timeline + Dependencies)

maps to

monday Work Management

monday.com Timeline Column and Dependency Links

lossy
Fully supported

BigPicture Gantt configurations — including start date, end date, duration, dependency types (Finish-to-Start, Start-to-Start, etc.), and constraints — are exported from BigPicture's MS Project MPP/XML export. We re-create these as monday.com timeline columns and dependency links between items. Complex dependency chains with multiple dependency types require manual validation in monday.com post-migration because monday.com's dependency column supports only Finish-to-Start by default.

BigPicture

Resource Allocation

maps to

monday Work Management

monday.com Workload Columns or Separate Capacity Board

1:1
Fully supported

BigPicture resource allocations (capacity, utilisation, assignment load per team member) map to monday.com workload columns on Business plan. On Standard plan and above, we create a separate capacity board with person-based columns tracking estimated hours per item against available capacity. BigPicture's capacity overrides and allocation percentages become number columns on the capacity board.

BigPicture

Risk Register

maps to

monday Work Management

monday.com Items with Status and Label Columns

1:1
Fully supported

BigPicture risk module records — probability, impact, status, owner, mitigation plan — migrate as monday.com items with custom status columns representing risk state (Open, Mitigating, Closed) and label columns for probability (Low, Medium, High) and impact (Low, Medium, High). We map BigPicture's risk ID to a text column for cross-reference.

BigPicture

Scope Tree (Work Breakdown Structure)

maps to

monday Work Management

monday.com Groups and Subitems

1:1
Fully supported

BigPicture scope trees represent hierarchical work breakdown structures. We flatten them into monday.com groups (top-level WBS nodes) with items representing lower-level work packages and subitems for granular tasks. Parent-child relationships are preserved via the monday.com subitem model and a parent reference text column.

BigPicture

Team

maps to

monday Work Management

monday.com Team

1:1
Fully supported

BigPicture team structures (members, team leads, assigned work) map to monday.com teams. We resolve each BigPicture team member by email against the monday.com workspace users and assign the team membership. Team-level permissions in BigPicture map to monday.com board permission levels (full, limited, view-only) per team.

BigPicture

Custom Fields

maps to

monday Work Management

monday.com Columns

1:1
Mapping required

BigPicture creates Jira custom fields for risk probability, impact scores, timeline percentages, and resource percentages. We map these to monday.com number columns with appropriate formatting (percentage display, currency, date). Date-range custom fields map to monday.com date columns with date range enabled. We validate field type compatibility during board schema design and flag any unsupported field types for customer admin review.

BigPicture

Attachments

maps to

monday Work Management

monday.com Files

1:1
Fully supported

Jira issue attachments migrate as monday.com file attachments on the corresponding item. We extract attachments from Jira's file API and upload them to monday.com via the GraphQL file upload endpoint. Attachment file size limits in monday.com (up to 250MB per file on Business plan) apply; files exceeding this threshold are flagged for alternative storage (SharePoint, Google Drive) with links documented.

BigPicture

Comments

maps to

monday Work Management

monday.com Updates

1:1
Fully supported

Jira issue comments migrate as monday.com updates on the corresponding item. Author, timestamp, and comment body are preserved. Rich-text comments are converted to monday.com's update format. Jira internal comments (visible to agents only) are noted in a separate column and flagged for customer admin to decide on visibility in monday.com.

BigPicture

Time Entries

maps to

monday Work Management

monday.com Time Tracking Column

1:1
Fully supported

Jira work logged entries migrate to monday.com time tracking on the corresponding item. Worklog author, duration, and date are preserved. Jira's time tracking format (e.g., 3h 30m) is converted to decimal hours for monday.com's time tracking column. If the customer uses BigPicture's enhanced time tracking, those entries also map to the same column.

BigPicture

Jira Workflow

maps to

monday Work Management

monday.com Status Columns

lossy
Fully supported

Jira workflow states map to monday.com status column values. We extract the Jira workflow XML, identify all active status values, and create monday.com status options that mirror the workflow state labels. Jira workflow transitions have no monday.com equivalent; we deliver a written map of each Jira workflow state and its recommended status column mapping for the customer's admin to implement in monday.com's workflow builder.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

BigPicture logo

BigPicture gotchas

High

Export hard-capped at 2,000 tasks

High

Jira Index corruption bug in versions 8.21.0–8.25.0

Medium

No read-only licensing — every Jira user counts

Medium

BigPicture and bigpicture.io are different products

Medium

Permissions complexity increases non-linearly with team size

monday Work Management logo

monday Work Management gotchas

High

Subitems have no bulk export endpoint

High

API complexity budget constrains query depth

Medium

Daily call limits vary sharply across plan tiers

Medium

Automation and integration rules do not export via API

Low

Saved views are not exposed via API

Pair-specific challenges

  • BigPicture has no public REST API — extraction routes through Jira only

    BigPicture is a Jira plugin without its own REST API. All data extraction must go through Jira's REST API, BigPicture's Gantt export UI, or the MS Project export path. The Gantt export UI caps at 2,000 tasks per operation, which requires us to chunk large programmes into multiple batches and reassemble the dependency graph in monday.com. Jira Data Center instances may have additional authentication and network constraints. We require read access to the Jira REST API (typically a Jira user account with browse projects permission) before scoping the migration.

  • BigPicture Jira Index corruption risk in versions 8.21.0-8.25.0

    BigPicture versions 8.21.0 through 8.25.0 introduced a known defect where BigPicture jobs could corrupt Jira's Lucene search index by interfering with the write.lock file. This results in silent data inaccessibility and search failures. We require confirmation of the installed BigPicture version before export. If the version falls within the affected range, we strongly recommend upgrading to 8.25.0 or later before initiating data extraction. Jira Data Center instances with index corruption require index rebuild before migration can proceed.

  • monday.com dependency column supports only Finish-to-Start by default

    BigPicture Gantt modules support multiple dependency types — Finish-to-Start, Start-to-Start, Finish-to-Finish, Start-to-Finish — and can encode lead and lag time. monday.com's dependency column supports only Finish-to-Start dependencies between items by default. Complex dependency graphs with Start-to-Start or Finish-to-Finish links require manual reconstruction or a third-party integration. We document every non-Finish-to-Start dependency found in the BigPicture export and flag them for the customer admin to rebuild in monday.com.

  • BigPicture programme Boxes have no native monday.com equivalent

    BigPicture's programme Box is a portfolio-level construct that groups multiple Jira projects under a single programme view with aggregated timelines, risk registers, and resource views. monday.com has no direct programme construct; we simulate it using board groups or a top-level board that links to member boards. This loses some of the programme-level rollup functionality (cross-project critical path, aggregated risk heatmap) that BigPicture provides natively. We document the programme structure and recommend a monday.com board architecture that preserves the most critical visibility during scoping.

  • monday.com V2 API migration required — V1 deprecated May 2026

    monday.com deprecated its V1 API on May 1, 2026, replacing it with V2 GraphQL-based endpoints. All integrations and automations built on V1 modules (including those in Make.com) must migrate to V2. We use monday.com's V2 GraphQL API for all write operations during migration. If the customer has existing Make.com or Zapier automations that reference BigPicture data, those require V2 migration using Make's Module Migrator before they will function with monday.com data post-migration.

Migration approach

Six steps for a successful BigPicture to monday Work Management data migration

  1. Discovery and BigPicture version audit

    We audit the source Jira instance and BigPicture installation: Jira hosting type (Cloud or Data Center), BigPicture version, installed modules (Boxes, Gantt, Resource, Scope, Risks), Jira project count, issue count per project, Gantt dependency complexity, custom field inventory, and attachment volume. We confirm the BigPicture version is outside the affected range (8.21.0-8.25.0) or flag the index corruption risk for remediation. We also identify the Jira user account used for extraction and validate REST API read permissions across all projects in scope.

  2. Programme structure design in monday.com

    We design the monday.com board architecture to replicate the BigPicture programme hierarchy. This includes workspace creation, board naming conventions per Jira project, board group structure for programme-level aggregation, status column design mirroring Jira workflow states, custom column types for BigPicture custom fields, timeline columns for Gantt, and a risk board for risk register migration. The board schema is validated in a monday.com test workspace before production migration begins.

  3. Gantt dependency extraction and resolution

    We extract Gantt data from BigPicture via the MS Project MPP/XML export path or Jira REST API. We parse the dependency graph, identify dependency types, and resolve parent-child relationships between Jira issues. For each BigPicture Box, we extract the linked issue set, timeline constraints, and resource assignments as a structured dataset. We chunk exports exceeding 2,000 tasks and reassemble dependency chains across batch boundaries, flagging any records that span export batches so the dependency graph is not broken.

  4. Sandbox migration and reconciliation

    We run a full migration into a monday.com test workspace using production-like data volumes. The customer's PMO lead reconciles board structure, item counts, status mapping, timeline data, dependency linkage, and subitem nesting against the BigPicture source. We validate the board schema and mapping corrections in the test workspace before production migration begins. Any structural changes (new columns, revised status options, board reorganisation) are applied to the production workspace design.

  5. Production migration in dependency order

    We run production migration in record-dependency order: user provisioning (Jira users to monday.com workspace members), boards (one per Jira project), items (Jira issues with subitems), timeline data (start and end dates to monday.com timeline columns), dependencies (dependency links between items), custom field data (mapped to number/date/label columns), risk records (risk board items), resource allocations (capacity board), attachments (file upload to items), comments (updates), and time entries (time tracking column). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation rebuild handoff

    We freeze Jira writes during cutover, run a final delta migration of any records modified during the migration window, then enable monday.com as the system of record. We deliver a written automation rebuild guide documenting every Jira workflow state mapping, BigPicture automation trigger and action, and recommended monday.com automation equivalents. monday.com automations are not rebuilt by FlitStack AI as part of the migration scope; this is a separate engagement or an internal admin task. We support a one-week hypercare window for reconciliation issues raised by the customer's project team.

Platform deep dives

Context on both ends of the pair

BigPicture logo

BigPicture

Source

Strengths

  • Gantt chart, roadmap, and timeline views that native Jira lacks, usable in both Cloud and Data Center.
  • Portfolio-level Box structure groups multiple Jira projects under a single programme view.
  • Resource management and workload visualisation for PMO-level reporting.
  • Supports hybrid methodology — teams can run agile sprints and classic waterfall tasks within the same programme.
  • MS Project export (MPP, MPX, XML) enables interoperability with traditional project planning tools.

Weaknesses

  • No read-only license tier — every Jira user counts toward the BigPicture license count regardless of activity level.
  • Export to CSV/Excel caps at 2,000 tasks, limiting bulk data extraction for large programmes.
  • Permissions model becomes unwieldy at scale with no granular role separation between viewers and editors in the license.
  • Performance degrades on large Jira instances with heavy Box/Gantt module complexity.
  • Pricing requires direct sales contact, creating friction for evaluation and budget planning.
monday Work Management logo

monday Work Management

Destination

Strengths

  • Drag-and-drop board UI with near-zero learning curve for non-technical users entering project data for the first time.
  • 20+ column types and unlimited custom columns let teams model arbitrarily complex data structures without developer help.
  • Multi-view support — Kanban, Gantt, Calendar, Timeline, Chart, Map — satisfies different team members without forcing a single layout.
  • Automations cover common trigger-action patterns for teams without dedicated developers to write custom scripts.
  • Free plan for 2 seats and a 14-day trial on all paid tiers make evaluation risk-free before committing to migration scope.

Weaknesses

  • Per-seat pricing with no enterprise flat-rate option means costs scale linearly with headcount, making it expensive at 50+ seats.
  • Subitems lack bulk API access, making them problematic for CRM-style use cases where contact records live as subitems under a company board.
  • Automations and advanced views are gated behind Pro and Enterprise tiers, creating feature deserts on entry-level plans.
  • Dependency column is visually limited — no critical path, no auto-rescheduling, and cross-board dependencies require manual link management.
  • No native document management; docs, wikis, and knowledge bases require a separate integration or third-party workaround.

Complexity grading

How hard is this migration?

Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across BigPicture and monday Work Management.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    BigPicture: Governed by Jira Cloud API limits. Jira Cloud REST API enforces per-tenant rate limits (typically 0–100 req/min depending on plan). Jira Data Center has no fixed rate limit but is constrained by server capacity..

  • Data volume sensitivity

    B

    BigPicture doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your BigPicture to monday Work Management migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about BigPicture to monday Work Management data migrations

Answers to the questions buyers ask most during BigPicture to monday Work Management migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your BigPicture to monday Work Management migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between three and five weeks for accounts with up to 5,000 Jira issues, a single programme Box, clean Gantt dependency chains, and no resource module complexity. Migrations with multiple programme Boxes, large resource and risk modules (over 3,000 allocation records), Jira Data Center hosting, complex Gantt constraint sets, or multi-workspace destinations move to seven to twelve weeks because of the 2,000-task chunking pass, dependency graph resolution, and board structure design for programme equivalence.

Adjacent paths

Related migrations to explore

Ready when you are

Move from BigPicture.
Land in monday Work Management, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day