Productboard is a product feedback management platform. It captures user needs and helps to prioritise the product roadmap.
It acts as a repository to consolidate user research outputs, feature requests and user feedback from different sources.
It can be used to build product hierarchies for prioritising the development of different features. These can be based on weighted combinations of user needs, development feasibility and strategic objectives.
The platform includes user segmentation, competitve analysis and and task management; a feature voting portal; and product roadmaps can be published within organisations or publicly.
FeedBear is a centralised feedback board for product feedback management.
Ideas are captured on site through chat modals, bug reports or integrations with support platforms such as Intercom.
Customers vote for their desired features to create roadmap priorities, with results presented in a Kanban board.
EnjoyHQ is a product research management tool that integrates customer feedback, research and data from support systems, survey tools, app reviews, NPS services and other sources.
Content can be tagged and highlighted, and reports can be published to slack or shared by email.
Wantoo is a customer feedback platform that uses ‘Idea Boards’ to get feedback wherever customers interact with a company -on store, on the web, or in native mobile apps.
The platform has tools to structure and prioritise suggestions, sync data with planning tools (including Slack, Trello, and Jira) and close the feedback loop by keeping customers up to speed on the changes they suggested.
Canny is a user feedback tracking platform for digital product management.
It includes features to capture user feedback via public or private boards and through integrations with tools like Intercom; product roadmap management; and changelog documentation.
Uservoice is a product feedback and roadmap prioritisation platform. Users submit product feedback and feature requests through multiple channels (website widgets, dedicated portals and forums embedded in native apps). Features can be prioritised using qualitative data and votes from users, together with quantitative analytics that incorporate data sets such as NPS, customer spend and segmentation metrics.