

BuildBetter is an AI-powered platform designed to help B2B product teams capture and analyze internal and external data. It collects information from calls, support tickets, Slack threads, and surveys to identify patterns and requirements.
The tool supports product, marketing, sales, and engineering teams in turning customer interactions into structured documentation. It organizes these insights into commitments, issues, and requests to help teams track development needs.
Buyers should confirm that the platform fits their specific B2B environment. Because it connects to various data sources and syncs with project management tools, teams should verify their data privacy requirements and software stack compatibility.
Collects data from customer calls, support tickets, Slack threads, and surveys.
Supports filtering captured information by severity, impact, and emotion.
Includes clustering for data visualization and supports broad research across collected data.
Categorizes information into commitments, issues, and requests.
Syncs data with Jira and Linear to track the status of identified issues.
Turning call recordings and support tickets into structured product documents.
Using emotion clustering and severity filters to identify customer pain points.
Syncing customer requests to Jira or Linear and notifying customers when features are shipped.
Generating daily or weekly reports to share product insights with stakeholders.
BuildBetter uses a usage-based pricing model with unlimited seats; the vendor states users pay when time is saved.
It is designed for B2B product teams, including roles in product management, marketing, sales, and engineering.
The vendor states that user data is not used to train AI models and that they provide internal privacy controls for recordings.
BuildBetter uses usage-based pricing with unlimited seats, where charges are based on time saved rather than the number of users.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
BuildBetter is an AI assistant for B2B product teams that converts customer interactions into structured insights. It supports workflows for capturing feedback, filtering by emotion or severity, and syncing with Jira and Linear.