Know What Your Customers Are Really Saying
Deck reads every interview, ticket, Slack thread, survey, and NPS response, then turns the noise into a living map of customer patterns your team can trust.
Don't Just Watch. Act.
Deck's agents go through every theme to deliver you segment-specific opportunities to improve your product.
Teams need segmentation before insights become decision-ready
From 3 themes
Impact Score
5.9
Composite (0-10)
Customers affected
Below 50 People
Sentiment
Negative
Trend MoM
Flat
Summary
9 feature request signals show strong demand for segmentation that supports both focused analysis and cross-segment visibility. Strongest evidence comes from Segmentation Needed For Prioritization, Scoped Views By Team And Stakeholder, and Segmentation Before Deeper Analysis.
In Their Words
Top 3 most-cited verbatims from linked insights
Once we can get the sort of the segment dealing, I think it's the biggest thing on my mind. Yeah. Because that would just split it again it would just mean that you're more confident in that theming.
Users see segmentation as a prerequisite for clearer theming, subthemes, and adding more data without diluting insights.
But at some stage, we would also like to consolidate all 3 because we want to make like a high-level product decisions because we don't want to look at those feedback in silos, right?
Turn Every Source into a Readable Map of Customer Signal
See the Pattern Before the Debate
Volume, sentiment, source mix, and latest activity make repeated customer signals visible before planning turns anecdotal.
1 map
Shared Read
Product, design, support, and leadership see one view.
0 drift
Source Links
Every claim opens back to its quotes and segments.
Live
Theme Stats
Counts and sentiment update as feedback changes.
Cut the Market Without Losing Evidence
Filter by segment, source, sentiment, and date while every summary stays attached to the quotes that created it.
Onboarding Friction
68% negative
Enterprise admins repeat setup uncertainty most often when Slack and CRM fields are configured together.
Enterprise
42 insights
Mid-Market
27 insights
Self-Serve
13 insights
12 quotes from implementation owners
8 support threads tagged setup
5 interviews mention unclear progress
Any
Segment
Enterprise admins, new users, churn risks, and more.
5
Channels
Research, support, Slack, surveys, and NPS together.
Fast
Evidence Scan
Move from pattern to source without rebuilding context.
Ask AI Without Leaving the Source of Truth
Theme detail, stats, and filtered insight endpoints let connected AI assistants answer with real customer evidence.
MCP
Agent Access
Expose canonical theme data to the tools teams use.
Quotes
Receipts
Answers stay grounded in actual customer language.
API
Reusable Data
Theme detail and insight filters stay consistent.
Frequently Asked Questions
Build Better Customer-Led Product Today
Bring your interviews, tickets, surveys, Slack threads, and NPS into one evidence layer your team can act on.