Sheldonn's AI-powered platform centralizes and automates the classification of customer feedback from various sources, including calls, tickets, and surveys, into a unified insights hub. This real-time analysis enables product teams to quantify feedback, identify trends, and prioritize actions based on reliable data, reducing inefficiencies and improving decision-making.
Funding
Funding not disclosed
Founders
Product
Problem
Product teams often struggle to consolidate and analyze customer feedback scattered across various sources like support tickets, calls, surveys, and reviews. Manually tagging and classifying this feedback is time-consuming, prone to errors, and results in unreliable data, hindering effective decision-making.
Solution
Sheldonn offers an AI-powered platform that centralizes customer feedback from diverse sources into a unified hub, automating its classification and analysis in real time. The platform uses AI to cluster topics, identify trends, and analyze sentiment, providing product teams with quantified insights. By linking feedback to revenue and segmenting it using CRM data, Sheldonn enables users to align product, sales, and business strategies with confidence. The platform integrates with existing communication tools and allows stakeholders to access insights, ensuring alignment across the organization.
Target Audience
Sheldonn primarily targets product teams, sales teams, customer success teams, and marketing teams seeking to streamline customer feedback analysis and improve decision-making.
Features
- Centralizes feedback from call recordings, support tickets, surveys, and app reviews.
- Automates feedback classification using AI to identify topics, trends, and sentiment.
- Allows customization of insights with semantic tags tailored to specific business needs.
- Quantifies feedback and links it to revenue using CRM data.
- Provides unlimited data source integrations, tags, insights, reports, and users.
- Offers integrations with communication tools for easy sharing of insights.
- Tracks top feature requests, competitor mentions, and lost deal reasons for sales teams.
- Monitors top customer issues, bugs, and churn triggers for customer success teams.
- Uncovers top use cases and acquisition sources for marketing teams.