Toggl + Jira
Connect Toggl and Jira to Unify Time Tracking with Project Management
Automatically sync time entries, issues, and project data between Toggl and Jira so your team can focus on work, not manual updates.
Why integrate Toggl and Jira?
Toggl and Jira are two of the most widely used tools in software development and project teams, yet they usually run in isolation. Toggl captures granular time tracking data while Jira manages the full lifecycle of tasks, bugs, sprints, and epics. Integrating the two cuts the friction of switching between systems and ties every billable hour directly to the work item it belongs to.
Automate & integrate Toggl & Jira
Use case
Automatically Log Time Entries to Jira Issues
When a team member stops a timer in Toggl, automatically post a work log to the corresponding Jira issue using the issue key embedded in the Toggl time entry description. No more navigating to Jira to log hours separately. Teams that bill by the hour or report on utilization get real-time accuracy without adding overhead to developer workflows.
Use case
Create Toggl Projects When New Jira Projects Are Created
Whenever a new project is created in Jira, automatically provision a matching project in Toggl so time tracking is ready before the first sprint kicks off. This keeps naming consistent between platforms and removes the risk of engineers logging time against the wrong project. Project leads can start sprints knowing time data will flow back cleanly from day one.
Use case
Sync Jira Issue Assignments to Toggl Time Entry Tags
When a Jira issue is assigned or reassigned, automatically update the associated Toggl tags or project groupings to reflect the current assignee and issue type. This keeps reporting filters in Toggl accurate and lets managers slice time data by the same dimensions they use in Jira. Teams running capacity planning can trust that both tools tell the same story.
Use case
Start Toggl Timers When Jira Issues Move to In Progress
When a Jira issue transitions to In Progress, automatically trigger a Toggl time entry for the assigned developer, pre-populated with the issue key and summary. Engineers don't need to remember to start a timer. Sprint velocity data in Jira can then be compared against actual time data from Toggl for more grounded retrospectives.
Use case
Generate Weekly Time Reports in Jira Comments
At the end of each week, aggregate all Toggl time entries linked to a Jira epic or project and post a summary comment to the relevant epic or a shared Jira page. Stakeholders get a clear view of hours logged per issue without leaving Jira, and project managers can spot budget risks before they escalate. This is especially useful for agencies tracking billable hours per client.
Use case
Alert Team When Jira Issue Time Exceeds Toggl Estimate
Monitor Toggl time entries and trigger a Slack or email alert when logged hours on a specific Jira issue exceed the original estimate. This gives project managers the chance to intervene early, re-scope work, or adjust upcoming sprint commitments. Teams practicing agile estimation get better at forecasting by catching overruns as they happen, not at sprint review.
Use case
Sync Toggl Clients to Jira Customers or Organizations
When a new client is added in Toggl, automatically create or update the corresponding customer record or label in Jira so issues can be filtered and reported by client from the start. For agencies managing multiple clients within a single Jira instance, this mapping keeps client attribution consistent across both tools and simplifies delivery reports that combine task status from Jira with hours from Toggl.
Get started with Toggl & Jira integration today
Toggl & Jira Challenges
What challenges are there when working with Toggl & Jira and how will using Tray.ai help?
Challenge
Matching Toggl Entries to the Right Jira Issues
Toggl time entries are free-text descriptions with no enforced structure, so there's no guarantee a Jira issue key is present or correctly formatted. Mismatches or missing keys mean time entries go unlogged in Jira, creating gaps in work logs and reporting.
How Tray.ai Can Help:
Tray.ai workflows can apply parsing logic to extract issue keys from Toggl descriptions using pattern matching, and can route entries that fail to match to a review queue or prompt the team member to correct the entry — no custom code required.
Challenge
Handling Different User Identities Across Platforms
A developer's Toggl account may use a personal email while their Jira account is tied to a corporate SSO identity. Without a reliable user mapping, automated work log posts get attributed to the wrong person or fail entirely, breaking traceability.
How Tray.ai Can Help:
Tray.ai supports custom lookup tables and data transformation steps that map Toggl user IDs to Jira account IDs, so every automated action is attributed to the correct person regardless of how each platform stores identity.
Challenge
Managing Bidirectional Sync Without Creating Duplicate Entries
When both Toggl and Jira are updated by automation at the same time, feedback loops can form where a change in one system triggers an update in the other, which triggers another update back, resulting in duplicated time logs or redundant webhook events.
How Tray.ai Can Help:
Tray.ai workflows include conditional logic and deduplication steps that check whether a record was already created or updated by the automation before acting, breaking potential feedback loops and ensuring each data point is written exactly once.
Challenge
Keeping Project and Task Hierarchies Aligned
Jira uses a rich hierarchy of epics, stories, subtasks, and components, while Toggl organizes work into clients, projects, and tasks. Keeping these two taxonomies aligned as projects evolve — with issues being moved, re-parented, or re-labeled — is a persistent operational headache.
How Tray.ai Can Help:
Tray.ai workflows can listen for hierarchy change events in Jira and dynamically update Toggl project or task structures to reflect the new organization, without requiring manual intervention from project administrators.
Challenge
Scaling Automation Across Multiple Jira Projects and Workspaces
Larger organizations often have dozens of active Jira projects and multiple Toggl workspaces, meaning a single automation template may not generalize cleanly across all combinations without producing errors or misrouted data.
How Tray.ai Can Help:
Tray.ai's multi-tenant and parameterized workflow architecture lets a single integration template run across many Jira projects and Toggl workspaces simultaneously, with project-specific configuration managed centrally and applied dynamically at runtime.
Start using our pre-built Toggl & Jira templates today
Start from scratch or use one of our pre-built Toggl & Jira templates to quickly solve your most common use cases.
Toggl & Jira Templates
Find pre-built Toggl & Jira solutions for common use cases
Template
Log Toggl Time Entries as Jira Work Logs
This template monitors completed Toggl time entries and automatically posts matching work logs to the Jira issue referenced in the time entry description, keeping both platforms in sync without manual effort.
Steps:
- Trigger when a Toggl time entry is stopped or completed
- Parse the Jira issue key from the Toggl entry description or tags
- Post a work log to the identified Jira issue with duration, date, and user
Connectors Used: Toggl, Jira
Template
Create Toggl Project for Every New Jira Project
Automatically provisions a new project in Toggl whenever a Jira project is created, so time tracking is ready before work begins and project names stay consistent across both tools.
Steps:
- Trigger when a new project is created in Jira
- Extract the project name, key, and relevant metadata from Jira
- Create a matching project in Toggl with the same name and assign it to the appropriate Toggl client or workspace
Connectors Used: Jira, Toggl
Template
Start Toggl Timer When Jira Issue Transitions to In Progress
When a Jira issue moves to In Progress, this template automatically creates a running Toggl time entry for the assignee, pre-filled with the issue key and summary so tracking starts accurately the moment work does.
Steps:
- Trigger on a Jira issue transition event where the new status is In Progress
- Retrieve the assignee details and issue summary from Jira
- Create an active Toggl time entry for the assignee with the issue key in the description
Connectors Used: Jira, Toggl
Template
Weekly Toggl Summary Posted to Jira Epic
Every Monday morning, this template aggregates the previous week's Toggl time entries by Jira epic and posts a formatted summary comment to each relevant epic, giving stakeholders a clear view of time investment without leaving Jira.
Steps:
- Trigger on a weekly schedule every Monday morning
- Fetch all Toggl time entries from the prior week and group them by Jira epic key
- Post a formatted summary comment to each Jira epic listing hours by issue and team member
Connectors Used: Toggl, Jira
Template
Alert on Jira Issue Time Overrun Based on Toggl Data
Compares cumulative Toggl hours logged against the time estimate on each Jira issue and sends an alert via Slack or email when logged time exceeds the estimate, so project managers can act before overruns compound.
Steps:
- Trigger when a new Toggl time entry is completed for a Jira-linked task
- Fetch the original time estimate from the corresponding Jira issue and calculate total logged hours from Toggl
- If logged hours exceed the estimate, send an alert to the project manager via Slack or email with issue details and overage amount
Connectors Used: Toggl, Jira
Template
Sync New Toggl Clients to Jira Project Labels
When a new client is added in Toggl, this template creates a corresponding label or component in Jira so that issues can be tagged and filtered by client from the start of the engagement.
Steps:
- Trigger when a new client is created in Toggl
- Check whether a matching label or component already exists in the target Jira project
- Create the label or component in Jira if it doesn't already exist and log the mapping for future sync operations
Connectors Used: Toggl, Jira