Released Hub vs 
Featurebase Released Hub is the best choice for teams already using Jira or Jira Product Discovery to collect feedback, share roadmaps, and publish release notes. Featurebase suits teams that want feedback, roadmaps, product updates, and customer support in one standalone customer-facing suite.
Released Hub Best for teams already using Jira or Jira Product Discovery
Featurebase Best for a broad support and product suite
✓ Supported · — Partially supported · × Not available.
| Feature | Released Hub | Featurebase |
|---|---|---|
| Pricing | ||
| Free plan and limits Compare the limits and scope of the free offering. | Supported Up to 10 Jira users | Supported |
| Starting paid price Compare the entry paid plan, billing unit, and payment commitment. Free-plan limits are listed separately. | Standard: $1.10/Jira user/month; volume discounts apply | Growth starts at $29 per seat/month when billed yearly. |
| Pricing model Understand what drives the bill, such as seats, site size, or tracked users. | Released Hub licensing is based on active licensed users on the Jira Cloud site, rather than just the authors using Released Hub. | Current paid plans are priced primarily per team seat, while external users can participate without taking a paid team seat. |
| Feedback collection and organisation | ||
| Feedback collection Collect ideas, requests, and problems from customers. | Supported | Supported |
| Feedback triage Review incoming feedback and organise it for follow-up. | Supported | Supported |
| End-user feedback portal Give customers a dedicated place to submit and browse feedback. | Supported | Supported |
| Respond to feedback Respond to customers and continue the feedback conversation. | Supported | Supported |
| Reply to feedback directly by email Record a customer’s email reply in the feedback thread without requiring a portal visit. | Supported | Not available |
| Feedback visibility controls Control whether feedback is private or visible to other customers. | Supported | Supported |
| Dedicated feedback forms Collect feedback through a dedicated form embedded in a website or app. | Supported Advanced plan | Supported |
| Automatic feedback capture Extract feedback from connected conversations without manually creating each entry. | Not available | Not available |
| Comments and discussions Discuss a request and add context in a shared conversation. | Supported | Supported |
| Private internal notes Keep team discussion separate from customer-visible replies. | Supported | Supported |
| Prioritisation and customer context | ||
| Wishlists and customer voting Understand which requests matter to customers through votes or personal selections. | Supported | Supported |
| Personal customer wishlists Let customers maintain a personal selection of the features they want. | Supported | Not available |
| Configurable wishlist limits Limit customer selections so they must choose what matters most. | Supported | Not available |
| Hide demand counts Hide totals to reduce the influence of other customers’ choices. | Supported | Not available |
| Customer segmentation Analyse feedback from particular customer groups. | Not available | Supported |
| Revenue-based prioritisation Consider account revenue when assessing customer demand. | Not available | Supported |
| Custom scoring frameworks Score requests using criteria chosen by the team. | Supported Through Jira/JPD | Supported |
| Prioritisation models Use formulas such as RICE or impact versus effort to compare priorities. | Supported Through Jira/JPD | Not available |
| Roadmap views and sharing | ||
| Public roadmaps Share upcoming work and progress with customers or stakeholders. | Supported | Supported |
| Board roadmap view Organise roadmap items into columns by status or planning stage. | Supported | Supported |
| Timeline view Show planned work against dates on a timeline. | Supported | Not available |
| Roadmaps across multiple projects Bring work from multiple projects into one shared roadmap. | Supported | Not available |
| Advanced roadmap filtering Choose which work appears using filters or advanced queries. | Supported | Supported |
| Separate customer-facing descriptions Write a customer-facing explanation separately from the internal planning description. | Supported | Not available |
| Show planning fields on the public roadmap Choose which internal planning fields customers can see on published items. | Supported | Not available |
| Control over roadmap publishing Decide when internal changes become visible to customers. | Supported | Supported |
| Release communication | ||
| Release notes Publish updates that explain what has changed in the product. | Supported | Supported |
| Release-note drafting workflow Compare where AI drafting happens and how source material reaches the writer. | Built-in AI drafting from selected Jira work | Featurebase can create Updates through connected AI assistants using its MCP server. The documented AI workflow depends on an external MCP-compatible assistant rather than a dedicated release-note generator inside the editor. |
| Reusable release-note templates Reuse an agreed structure when preparing each product update. | Supported | Not available |
| Configurable AI writing instructions Guide generated writing with tone, examples, or custom instructions. | Supported | Not available |
| Embedded product updates Show product updates directly inside a website or application. | Supported | Supported |
| Changelog email subscriptions Let readers subscribe to product updates by email. | Supported | Supported |
| Shipment communication Tell customers when new work becomes available. | Supported | Supported |
| Request-specific status notifications Notify people about progress on the particular requests they follow. | Not available | Supported |
| Integrations | ||
| Website and app embeds Bring customer-facing content into an existing website or application. | Supported | Supported |
| Support tool integrations Bring feedback from support conversations into the product workflow. | Supported Native through Jira | Supported |
| Team chat integrations Connect team chat to feedback collection or notifications. | Supported | Supported |
| Publishing integrations Distribute product updates to other tools and channels. | Limited Through embeds | Not available |
| API and webhooks Read or update data programmatically and react to product events. | Not available | Supported |
| Access and administration | ||
| Audience controls Choose which customers, teams, or individuals can access shared content. | Supported | Supported |
| External customer participation Let customers contribute without requiring an internal team licence. | Supported | Supported |
| Custom domains Publish customer-facing content under a domain your organisation controls. | Supported | Supported |
| SOC 2 compliance Assess the product’s documented SOC 2 compliance status. | Supported | Supported |
| Single sign-on Let users sign in through an existing identity provider. | Not available | Supported |
| Team roles and permissions Assign team members different responsibilities and access levels. | Not available | Supported |
| Jira integration | ||
| Jira issue linking Associate customer requests with Jira work items, including linking restrictions. | Supported | Supported |
| Jira status sync for linked ideas Keep connected ideas or roadmaps aligned with Jira status changes. | Supported Controlled publishing | Supported |
| Show feedback on Jira work items Review customer feedback from a Jira work item rather than searching another tool. | Supported | Supported |
| Create insights in Jira Product Discovery Create customer insights on Jira Product Discovery ideas. | Supported | Not available |
| Release notes from Jira work Use selected Jira work as the source for release-note drafts. | Supported | Limited An external AI assistant can combine completed Featurebase posts with Jira issues to create an Update through Featurebase MCP. This requires a connected MCP-compatible assistant and is not the same as selecting Jira work in a native release-note drafting workflow. |
| Atlassian user management Compare how team access is managed alongside Atlassian accounts and permissions. | Uses Jira permissions | Featurebase uses its own seat-based workspace administration alongside the Jira app and Jira authorization. |
Released Hub 
Released Hub is particularly strong when delivery work already lives in Jira. Its AI drafts use selected work items as source material, while templates and writing instructions provide a consistent structure and style for updates.
Released Hub separates internal planning changes from customer-facing updates. Roadmap data stays connected to Jira, while teams decide when changes are ready to share—a useful fit for teams that need to review plans before communicating them.
Personal wishlists, configurable limits, and hidden counts encourage customers to make deliberate choices about the features they want.
Bring customer feedback into Jira Product Discovery as insights, keeping customer input alongside the ideas your team evaluates.
Featurebase 
Bring feedback, roadmaps, product Updates, help content, and support workflows into one workspace.
Use segments and revenue attributes when filtering and prioritising requests.
Link posts, map statuses, notify voters, and review feedback context from Jira.
Released Hub Featurebase Consider how delivery work becomes a clear product update, from drafting through to publishing and distribution.
AI drafts release notes directly from selected Jira work items. Reusable templates, examples, and writing instructions guide the structure and style, with editing controls to refine the final update.
Featurebase can create Updates through connected AI assistants using its MCP server. The documented AI workflow depends on an external MCP-compatible assistant rather than a dedicated release-note generator inside the editor.
Look beyond vote totals to understand which requests matter, who needs them, and how they inform priorities.
Scoring and prioritisation use the capabilities of Jira and Jira Product Discovery, including custom formulas such as RICE in JPD.
Personal wishlists offer configurable selection limits and hidden counts, encouraging customers to choose what matters most. Why personal wishlists work better than public voting.
Featurebase supports filters, customer revenue, and prioritisation frameworks for assessing ideas. Teams can create user segments from synced customer attributes and use them for filtering, targeting, and access. Customer attributes such as revenue can be synced and used to filter and prioritise feedback.
Look at how feedback connects to Jira work and what your team needs to manage across the two tools.
Feedback on a roadmap item links automatically to its Jira work item, keeping customer input connected to the work being discussed. Teams can also link general feedback from the inbox. Jira-connected roadmaps retain control over when updates are shared publicly.
Featurebase posts can create new Jira issues or link to existing Jira issues. Configurable rules provide two-way status sync between Featurebase posts and Jira issues.
Compare the context customers can see and the control your team has over sharing plans and progress.
Board and timeline views turn Jira-connected plans into customer-facing roadmaps. Teams choose which planning fields to display and can write a separate public description for each item.
Jira data stays current in the backend, while the team controls which updates reach customers and stakeholders, and when they are shared.
Featurebase provides a public roadmap connected to feedback posts. Teams control which posts and status changes are exposed through the public roadmap. Feedback, roadmap, Updates, and help content can be embedded in web or mobile experiences.
Documentation reviewed 2026-09-15 / 2026-09-16. Based on product documentation and pricing sources.
Reviewed by Jens Schumacher
Last updated:
For teams already using Jira or Jira Product Discovery, Released Hub connects customer feedback, public roadmaps, and release notes with the work they already manage.
