Turn every SaaS conversation into structured product and account signals
A signed deal is not an activated account, and the feedback that tells you why is scattered across sales, support, and customer success. Semarize reads those conversations and writes back consistent fields you can act on, so activation health, product intel, and support quality stop living in transcripts.
Kit
SaaS Lifecycle Kit
Structured signals from a SaaS conversation
Output
{
"onboarding_stage": "integration",
"setup_blocker": "sso",
"feature_request": "bulk export",
"competitor_mentioned": "Rival Co",
"activated": false
}
The problem
Your product hears everything. Your systems remember almost none of it.
Every week your teams sit through kickoff calls, support chats, and renewal reviews where customers say exactly what they need and where they are stuck. That signal lands in a recording, a ticket note, or someone's memory, and then it is gone. By the time a churn shows up in a dashboard, the conversation that predicted it happened months ago. SaaS teams do not have a listening problem. They have a structuring problem.
Signed does not mean activated
New accounts close, then stall in onboarding. Without a read on which milestones each account has hit, a stuck rollout looks healthy right up until it churns.
Feedback never reaches product
Feature requests and friction get mentioned in calls and tickets, then sit in transcripts. Product builds from the loudest customer, not the most common ask.
Support load has no root cause
Disposition codes tell you a ticket closed, not why it opened. The same issues come back every week with nothing pointing at the fix that would remove them.
Competitive signal goes unrecorded
Reps hear which competitor a prospect is weighing, but those mentions rarely make it into a field anyone can count or trend over a quarter.
SaaS examples
Conversation signals across the SaaS lifecycle
From the first onboarding call to the hundredth support ticket, Semarize reads the conversation and writes back fields your product, success, and support teams can use.
01 / Activation health
See which new accounts are actually reaching value
A signed deal isn't an activated one. Semarize reads each kickoff and onboarding call for the milestones the account has hit, the setup blockers holding them up, and whether they have reached first value yet - so you can step in before a stalled rollout becomes a churned logo.
Account onboarding
Northpeak Labs
Stuck on integration
SSO setup blocking go-live
02 / Product intel
Aggregate what every conversation says about the product
Feature requests, friction, and competitor mentions are scattered across sales, support, and CS. Semarize extracts them into one consistent schema, so product and competitive-intel teams can see the most-asked features and where deals run into the competition - without anyone re-reading transcripts.
Most requested
Features asked for this quarter
Aggregated from sales, support, and CS into one schema
03 / Support quality
Find the recurring issues your product should fix
The same problems come back through support every week, but disposition codes never explain why. Semarize tags each conversation's root cause, flags the ones a doc or product change would deflect, and whether it matches a known issue - so when you aggregate them, the fixes that remove the most load rise to the top.
Root-cause clusters
Why tickets keep coming back
How it works
From raw conversation to a field in your stack
Semarize sits behind your existing tools as an API. You bring the conversation, define what matters once, and get back structured data every system can use.
- Step 1
Capture the conversation
Send the transcript of any kickoff call, support chat, renewal review, or email thread to the API. No new tool for your reps or agents to learn.
- Step 2
Define Bricks once
Each Brick measures one thing: an onboarding stage, a setup blocker, a feature request, a root cause. Author it once and it runs on every conversation.
- Step 3
Bundle into a Kit
Group the Bricks that belong together into a Kit, like a SaaS Lifecycle Kit, so one API call returns the full set of signals for a conversation.
- Step 4
Ground in your truth
Attach pricing sheets, product docs, and playbooks as Knowledge grounding, so the evaluation reflects how your product actually works, not a guess.
- Step 5
Route the structured output
The API returns clean JSON. Push it to your CRM, product analytics, support dashboards, or alerting through the automation tools you already run.
Example Bricks
The building blocks behind a SaaS Lifecycle Kit
Bricks are the smallest unit of evaluation. Here are six, grouped into the three categories a SaaS team tends to care about most.
Activation health
Place each account on its onboarding path so you can see who is moving and who is stuck.
Capture the specific thing holding a rollout up, from SSO to data import, in the customer's own words.
Product intel
Pull every feature a customer asks for into one list so product can count the most common asks.
Record which competitor came up, so competitive intel can be trended across a quarter.
Support quality
Cluster tickets by the underlying issue rather than the disposition code attached at close.
Flag tickets a doc or product change would have prevented, so support load points at the fix.
Example output
Structured fields, ready for your stack
One API call against a SaaS Lifecycle Kit turns an onboarding conversation into fields you can store, filter, and alert on. Here is what comes back.
SaaS Lifecycle Kit returned
Read from one onboarding call for Northpeak Labs
- Onboarding stage
- integration
- Setup blocker
- sso
- First value reached
- false
- Activated
- false
- Feature request
- bulk export
- Account segment
- mid-market
{
"account": "Northpeak Labs",
"onboarding_stage": "integration",
"setup_blocker": "sso",
"first_value_reached": false,
"activated": false,
"feature_request": ["bulk export"],
"competitor_mentioned": "Rival Co",
"segment": "mid-market"
}The difference
Conversation intelligence tools versus a structuring API
Most tools summarize a call for the person who joined it. Semarize writes structured data for every system that did not.
A typical conversation tool
Semarize as an API
FAQ
Questions from SaaS and technology teams
How Semarize fits the way SaaS teams already work, from onboarding to support.
Keep exploring
Where SaaS signal goes next
The same structured conversation data feeds the teams next door. Follow it across your stack.
Track activation health and renewal risk from the conversations your CS team is already having.
Feed structured conversation signals into the models and warehouses your analytics team runs.
Score support and sales conversations for quality and coverage on every interaction, not a sample.
See how a single Brick captures one signal, from onboarding stage to support root cause.
Bundle the Bricks that belong together so one API call returns a full lifecycle read.
Send a transcript, get back structured JSON. See how the Semarize API fits your stack.
Get started
Structure every SaaS conversation, from kickoff to renewal
Define the signals that matter to your product once, then read them off every call, chat, and ticket. Start building with the Semarize API today.
No card required. Start testing in minutes.