Scoring method
How the score is calculated
The score uses the category-specific buying dimensions below and their displayed weights.
This page is based on public product information, official sources, structured feature data, and multi-model AI evaluation. It is not a hands-on lab test unless explicitly stated. Confidence percentages describe our research indicators, not the probability that a claim is true or a measured accuracy rate.
Feedback collection design quality18%
79The platform consolidates feedback from surveys, reviews, support conversations, social media, calls, CRM data, and custom sources, which supports broad feedback collection design across channels; the public facts do not establish survey-building depth, so buyers should verify how collection design maps to their intake workflow.
Closed-loop action workflow16%
69Proactive issue detection and anomaly alerts can support follow-up workflows on emerging issues, but the supplied facts do not establish a full ticketing or case-management loop, so buyers should verify how actions are operationalized after insight detection.
Text and sentiment analysis16%
90The platform includes AI-driven themes, sentiment, prioritized feedback signals, and Lyra Agent for natural-language customer-feedback analysis, which gives it strong support for text and sentiment analysis workflows.
Distribution and response capture14%
32Chattermill says it is not a good fit for buyers seeking a primary tool to send surveys or only basic survey functionality, so this dimension is limited for survey distribution and response capture even though the platform can analyze feedback from survey sources.
Voice-of-customer reporting insights14%
86Reports, dashboards, advanced filters, visualizations, and business-driver analysis support voice-of-customer reporting and insight consumption for internal stakeholders.
Feedback segmentation and context12%
79Reports, dashboards, advanced filters, and visualizations support slicing feedback by context, and the platform also analyzes business drivers, but the supplied facts do not detail all segmentation dimensions or rule depth, so buyers should confirm the exact context model they need.
Feedback data quality controls6%
60Role-based access, granular data permissions, PII anonymization, SSO, and 2FA support governed handling of feedback data, but the supplied facts do not establish deeper bias-mitigation or data-validation controls, so the score stays moderate.
Feedback program governance4%
87SOC 2 Type II and ISO 27001 certification, plus role-based access, granular permissions, SSO, 2FA, PII anonymization, and EU or US data storage, give the platform strong support for program governance and controlled enterprise use.