Connector Database / UserVoice
Analyze your UserVoice data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your UserVoice data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your UserVoice data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your UserVoice data with DuckDB-powered data warehouse including Quickbooks, Attio, Stripe and MySQL.
Available UserVoice Data
Extracts UserVoice product feedback and customer engagement data, including ideas/suggestions, comments, users and accounts, NPS ratings, forums, labels, statuses, features, segments, and related relationships. Enables analysis of feedback volumes and trends, supporter impact (e.g., MRR), roadmap status changes, and NPS sentiment to inform product prioritization and customer insights.
Suggestion
Crowdsourced product ideas with engagement signals like supporters and comments. Supports analysis of feedback volume and trends, prioritization by status/label/forum/category, and revenue-weighted impact via linked accounts.
Supporter
Represents users backing a suggestion and the request links between them. Enables measurement of demand (unique supporters), cohort interest, and MRR/LTV-weighted prioritization using account context.
Comment
User-submitted qualitative feedback on suggestions. Used to track engagement volume, conversation velocity, and sentiment over time.
Feature
Roadmap items linked to suggestions and product areas. Supports tracking of delivery pipeline, status distribution, and alignment of feedback to shipped work.
Status Update
Timestamped changes to suggestion or feature status. Enables analysis of time-in-state, cycle time, and the impact of customer communications.
NPS Rating
Individual Net Promoter Score responses with optional comments and user/account context. Powers NPS calculation, sentiment trends, and correlation with product changes or segments.
Customer Account
Company-level records with commercial metrics like MRR and LTV and linked users. Used for revenue attribution to feedback, account segmentation, and risk/opportunity analysis.
Customer User
End-user profiles associated with accounts and engagement (support, comments, NPS). Enables cohort analysis and user-level engagement and sentiment tracking.
Audience Segment
Saved cohort definitions and their values for filtering and grouping. Supports segmented reporting across suggestions, NPS, users, and accounts.
Authentication Required
Uses OAuth 2.0 client credentials with your UserVoice API key and secret to obtain an access token
Getting started with
UserVoice Analytics & Business Intelligence
Connect your UserVoice data
Connect to UserVoice once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Build business intelligence models
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Generate reports and insights
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
Want to see how easy it is to get started?
UserVoice usersDefinite
People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.
I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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