technology
Usage metrics say what happened. User voice says why.
Resultid connects product feedback, support interactions, and usage data to surface what drives retention and expansion across every product, region, and customer segment.
Usage metrics say what happened. User voice says why. The gap between segments is behavior, and it is visible weeks before renewal.
586+
Data Sources Integrated
-34%
Churn Signal Detected
2 wks
To Deploy
Weekly
Segment-level Briefs
In production at
Segment by segment
Move from retention averages to segment-level action.
Usage metrics show what happened. User voice explains why. Resultid unifies both so product teams act on signal, not opinion.
Resultid replaced Palantir at NASA's navigation partner Psionic in two weeks: one-eighth the time, one-quarter the cost. The pattern repeats: product teams at iHeartMedia and NBCUniversal deployed operational intelligence in paid pilots, pairing usage telemetry with verbatim voice from support tickets, product reviews, and user interviews. When both exist in the same view, churn risk is identifiable three sprints before the renewal call.
What product teams get
Platform
Connect user voice, usage data, and support signal into one retention view.
Three things the platform does for a product organization, each delivered to segment owners weekly.
Product Performance Intelligence
Your enterprise segment renews at 94%. Your mid-market renews at 71%. The usage metrics don't explain the gap. The verbatim voice does. We pair them, so PM leads see which onboarding friction and which support theme is actually driving each segment's number.
User and Support Voice Synthesis
NPS, support tickets, product reviews, user interviews, in-app feedback, unified into one operational view. You see which themes are driving churn this sprint, not an NPS number floating free of context.
Churn and Risk Alerts
Feature frustration, onboarding friction, and competitive displacement all send signal weeks before the renewal call. Save the account when there's still room to save it.
In practice
How product teams move from retention averages to segment-level action.
PM and CS leads see which segments are at churn risk and why: usage patterns paired with verbatim user voice, not NPS numbers floating free of context.
As a leader in product operations, you understand that retention and expansion depend on understanding what users actually experience, not just what usage metrics suggest. Your team manages feedback from support tickets, NPS surveys, product reviews, and user interviews across dozens of products and segments.
Yet connecting these signals into a single intelligence layer that explains performance differences at the product and segment level remains an unsolved challenge. Without it, decisions are made on portfolio averages that hide the specific actions that would reduce churn and accelerate expansion.
Deploy operational intelligence in two weeks, like Psionic did.
Surface the revenue gaps and churn signals across every product, region, and customer segment.