What we've shipped. We build fast so you can grow faster.
New Feature
Retention Lifecycle
The chart that exposes the lie of "Active Users." 500 MAU sounds great, but if 200 are new, 150 are dormant, and only 100 are returning, you're on a treadmill. This breaks your user base into who's staying, who's new, who came back, and who left.
Every user gets one label per period: New, Returning, Resurrecting, or Dormant, stacked in one bar per period
Pulse metric: (New + Resurrecting) ÷ Dormant. One number that tells you if you're growing or shrinking
Full history trend page with lifecycle lines, Pulse chart with 1.0 break-even reference, and weekly/monthly/quarterly views
New Feature
Stickiness Distribution
See the shape of your engagement. Instead of one average number, see how many days per period each user is actually active. An L-curve means most users try once and leave. A flatter curve means habits are forming.
Each bar shows the % of users active on exactly that many days, with an Exact vs Cumulative toggle
Switch between bar chart (distribution shape) and line chart (stickiness ratio over time like DAU/MAU)
Weekly, monthly, and quarterly views with segment filtering
New Feature
Stickiness & Time Between Sessions
See how habitually users engage and how often they come back. Stickiness Score uses the classic short-window to long-window active user ratio (like DAU/MAU), and Time Between Sessions shows the median days between visits. Your engagement cards and trend charts are reorganized so you can flip between related metrics without losing the four-card layout.
Stickiness Score with daily, weekly, monthly, and quarterly ratio views (DAU/MAU, WAU/MAU, MAU/QAU, QAU/YAU)
Time Between Sessions alongside Session Frequency; Retention paired with Bounce Rate on the same toggles you already use
Engagement Trends updated with matching pairings and dual-line charts where two metrics tell one story
Improvement
Segmentation for Engagement & Cohorts
Your PMF survey segments now also apply to user engagement metrics, cohort analysis, and trend charts, aligned with the Rahul Vohra methodology, so product and growth numbers match the audience you're studying.
Active users, retention, session frequency, and bounce rate respect your active segment
Cohort tables and engagement trend charts update with the same segment toggle as PMF
NPS scores and NPS history follow the segment for a consistent dashboard view
New Feature
Q2 User Segmentation
Segment your users based on their PMF survey responses using the Rahul Vohra methodology. Identify your "very disappointed" power users vs. "somewhat disappointed" segments to focus your roadmap on what matters most.
Segment users into Vohra's core groups: very disappointed, somewhat disappointed, not disappointed
Filter analytics and feedback by segment
Targeted insights per segment to guide Q2 product decisions
Fix
Stability & Bug Fixes
A round of reliability improvements across the app. Fixed logout crash, session handling edge cases, and general stability improvements to keep everything running smoothly.
Fixed logout crash caused by SDK reset timing
Improved auth state guards and loading states
General session handling stability improvements
New Feature
Feature Suggestions
Introducing smart feature suggestions! Our algorithm, designed around the Rahul Vohra framework, analyzes your user feedback and recommends what to build next. The system identifies patterns across responses and surfaces high-impact opportunities.
Cross-group analysis finds features mentioned by multiple user segments
One-click add to your product roadmap
Improvement
PMF Score Tracking Visualization
Track your product-market fit progression over time with our new chart visualization. See your score evolve, identify trends, and know exactly when you cross the 40% threshold.
Daily, weekly, monthly, and quarterly views
Visual 40% threshold indicator
Green/red dots show PMF status at each point
New Feature
User Analytics Dashboard
Understand your users better with the new analytics dashboard. See how users interact with your product and track engagement patterns over time.
Login frequency tracking
User engagement metrics
Improvement
Survey Response Archive
View all your survey responses in one place with the new archive feature. Every response is visible and organized for easy review.
Full response history
All responses visible at a glance
Fix
SDK Performance Improvements
We've optimized the Ignyte SDK for faster load times and better performance. Survey display is now 40% faster with reduced bundle size.
Reduced bundle size by 35%
Faster survey rendering
Improved mobile performance
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