CoSupport AI
What is Lancey?
Lancey is a sophisticated product management platform that revolutionizes how teams handle product feedback and decision-making. The platform automatically processes and analyzes feedback data from multiple sources, including calls, support tickets, product analytics, and CRM systems, transforming unstructured information into meaningful insights.
With SOC 2 Type II compliance, Lancey offers seamless integration capabilities and automated processing features that enable product teams to understand themes, sentiment, and feature impacts without manual intervention. The platform facilitates efficient product discovery, user interview scheduling, and feedback loop closure, making day-to-day product work more streamlined and data-driven.
Features
- Automatic Data Processing: Processes feedback data from multiple sources automatically
- Smart Integration: One-click integrations with popular tools and platforms
- Insight Generation: Automated theme and sentiment analysis of feedback
- User Interview Management: Easy identification and setup of user interviews
- Feedback Loop Closure: Automated notification system for acted-upon feedback
- Cross-Data Analysis: Comprehensive insights across different data points
Use Cases
- Product feedback analysis
- Feature impact assessment
- User research coordination
- Customer sentiment tracking
- Product decision making
- Roadmap planning
FAQs
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What integrations are supported by Lancey?
Lancey supports integrations with various tools including Zendesk, Gong, Jira, GitHub, Amplitude, Notion, Segment, Mixpanel, Slack, and Intercom among others. -
How does Lancey ensure data security?
Lancey is SOC2 Type II certified and prioritizes data privacy and security. Customer data is never used to train third-party models. -
What is included in the Starter plan?
The Starter plan includes unlimited feedback processing, unlimited users, automatic insight generation, and up to 3 integrations for $500/month.
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Lancey Uptime Monitor
Average Uptime
100%
Average Response Time
172.57 ms
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