Bucket is a feature management tool designed for B2B SaaS companies to streamline and enhance the process of shipping product features.
Offers a strongly typed SDK for JavaScript and TypeScript across all platforms, ensuring that features are flagged with precision and safety.
Allows team members to toggle features on or off for testing purposes, enhancing internal feature review processes.
Integrates with GitHub to automatically identify and remove unused flags, helping to declutter and maintain a clean codebase.
Uses the track function to monitor feature adoption, employing the STARS framework to assess how widely features are being adopted by users.
Incorporates buttons or surveys directly into features to collect user feedback, which is then fed into Slack or a dedicated Feedback tab.
Supports company-level filters and custom segments to manage feature access, providing a more tailored feature use and administration.
Automates data export to ensure all teams can access customer feature data, facilitating informed decision-making.
Provide unlimited seats and access to all features across its plans, allowing teams to scale as needed without additional costs per user.
Includes filters for company attributes, feature usage, and satisfaction, as well as reusable segments, allowing detailed targeting and analysis of feature usage.
Offers STARS feature funnel, group analytics, and automated feedback surveys to gather user insights and track feature performance.
Automates the export of data, simplifying the process of sharing and analyzing insights across teams.
Provides integration with Single Sign-On services via SAML for enhanced security and ease of access.
Roll out flags to a subset of customers to safely launch features, which helps in controlling exposure and reducing the risk associated with new feature releases.
Allows you to instantly roll back the latest changes from the Bucket UI in case a release goes wrong, ensuring minimal disruption and quick problem resolution.
Provides powerful targeting rules that let you target companies, not just individual users, which enables more customized feature delivery.
Segment customers based on their feature access to build powerful views for deeper analysis, helping in understanding how different customer segments interact with new features.
Bucket can be implemented quickly without the risk of being locked into a specific vendor, thanks to its compatibility with OpenFeature standards.
Automatically logs every change to every flag to provide a comprehensive change history for better audit trails and debugging.
Utilizes a global network to keep initial evaluation round-trip time low and subsequent lookups instant, enhancing performance and user experience.
Allows local evaluation of feature flags to improve latency and provide downtime protection, ensuring consistent performance regardless of network conditions.
Offers a real-time event log for fast debugging, allowing you to see events as they come in and slice the log view with powerful filters for detailed inspection.
Enables organization and listing of features with customizable views, along with configurable columns to show, hide, and order as needed.
Integrates with Slack for weekly digest and on-the-fly notifications, ensuring team members are updated on all feature flag activities.
Add a feedback button by a single SDK method call to collect insights from customers.
Collect automated feature feedback from customers right after release, without additional coding.
Filter customer feedback by various criteria like feature, company, or CSAT score.
Automatically send collected feedback to Slack channels to keep the team informed.
Tailor the look of the feedback modal to align with your brand styling.
Track and analyze satisfaction distribution over time to optimize features.
Supports multilingual feedback collection to engage with a diverse user base.
Combine flags, adoption metrics, and feedback collection using a single feature key.
Provides a strongly typed SDK for JavaScript and TypeScript across all platforms, ensuring developers can manage feature flags with precision and reliability.
Allows team members to toggle features on or off, enabling thorough testing internally before features go live to customers.
Integrates with GitHub to identify and remove unused feature flags automatically, reducing maintenance overhead.
Uses the 'track' feature and the STARS framework to monitor the adoption of new features by companies.
Automatically collects feedback through surveys or buttons, feeding responses directly into Slack or a designated Feedback tab within Bucket.
Provides company-level filters for feature access and adoption, enabling precise control over feature entitlements.
Syncs feature information, access data, and feedback with existing company tools, improving workflow efficiency.
Create dynamic company segments using attributes like subscription plans to tailor feature access per customer group.
Control feature availability based on predefined company segments to ensure appropriate access for Pro and Enterprise plans.
Enable or disable feature access for specific companies directly from their profile page, facilitating customizable feature rollouts.
Automatically keeps track of the customers that try and adopt features, using built-in metrics to evaluate feature releases.
Utilizes the open-source STARS framework to measure feature engagement and satisfaction, offering a consistent approach for B2B SaaS companies.
Allows you to define custom adoption strategies, setting feature goals based on adoption, usage frequency, or satisfaction.
Enables segmentation of companies based on their position in the STARS funnel, using powerful filters to improve feature adoption.
Enable automatic export to get all companies’ feature data exported to an S3 bucket every day.
Choose key features to sync to your CRM, so customer success and product marketing have the insights they need to provide better support and run better campaigns.
Automates maintenance tasks for feature flagging and deeply integrates with the existing tech stack to allow developers to focus on building new features without unnecessary manual intervention.
Designed with a focus on SaaS company needs, this tool uses subscription plans as a core element, providing specialized workflows tailored to releasing and managing features smoothly.
Incorporates feature adoption and feedback directly into the feature flagging process, allowing developers to rapidly adjust and enhance features based on customer feedback collected during beta testing, ensuring the features meet user needs effectively.
Enables toggling features on and off for testing, helping developers manage their feature rollouts efficiently.
Provides a CLI tool to create features effortlessly while maintaining type safety to ensure code quality and consistency.
Allows adding multiple users to feature access lists by pasting a list of IDs, simplifying the management of user permissions.
Facilitates easy integration with other systems using event listeners in SDKs, so users can connect Bucket with external applications.
Enables dynamic configuration of feature behavior remotely without redeploying the application, adding flexibility in feature management.
Allows users to define their own naming conventions for feature keys, supporting various formats like kebab-case, camelCase, and SNAKE_UPPER_CASE.
Marks features as secret to protect feature keys from being exposed to users, ensuring security in backend operations.
Enhances user experience by allowing custom company logos or user avatars instead of default ones.
Enhances the event log, providing clearer visibility of data sent by applications to ensure proper setup and operation.
Updates feature tabs to align with rollout processes, providing dedicated tabs per use case for better organization and tracking.