
Sauce
Sauce helps product teams summarize and consolidate feedback for impactful releases.
product feedbackAI engineconsolidate feedback
Introduction
Sauce is an AI product feedback engine that helps product teams consolidate feedback, auto-summarize insights, ship impactful releases, and close the communication loop. It eliminates noise, manual feedback tagging, and ensures all stakeholders feel heard and product releases achieve impact. It consolidates feedback from various sources like customer feedback, bug reports, feature requests, app reviews, and NPS scores.
Key Features
Consolidate feedback from various sources like customers and GTM teams
Automatically aggregate feedback into themes, feature requests, bugs, and sentiment
Understand trends and separate signal from noise
Automatically pull customer feedback into releases to communicate the 'why'
Sync with delivery workflows in Jira or Linear and auto-update ticket details bi-directionally
Automatically notify reporters when feedback is tagged and upon release
View feedback and related features in digestible customer profiles synced with your CRM
Frequently Asked Questions
What is Sauce?
How to use Sauce?
What sources of feedback does Sauce consolidate?
How does Sauce automate insights?
Can Sauce integrate with project management tools?
Does Sauce notify reporters when their feedback is tagged or upon release?
Can Sauce help in syncing feedback with CRM?
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Use Cases
- Consolidating and organizing feedback from customers, GTM teams, and various sources
- Automating the process of aggregating and analyzing feedback
- Driving impactful releases and syncing with delivery workflows
- Closing the communication loop and aligning go-to-market teams
How to Use
To use Sauce, product teams need to join the beta program. Once joined, they can connect all their feedback sources, starting with Slack, to consolidate feedback in one place. Sauce automates the process of aggregating feedback into themes, feature requests, bugs, and sentiment. It helps understand trends and separates signal from noise. Teams can then ship impactful releases by automatically pulling customer feedback into the releases and syncing with delivery workflows in tools like Jira or Linear. The loop is closed by automatically notifying reporters when feedback is tagged and upon release, and viewing feedback and related features in digestible customer profiles synced with the CRM.