Software That Tracks Post-Onboarding Product Adoption and Alerts You When Key Features Go Unused

New customers often finish onboarding without ever touching the features that drive retention, and most tools only reveal that after the renewal is at risk. The gap is a system that watches post-onboarding usage and flags stalled accounts early. Quivly does this by combining product usage with revenue, engagement, and support signals into a single health score per account, then recommending and drafting the next action so your team can step in before a stalled rollout becomes churn.

Introduction

Most customer-success teams can see whether an onboarding project finished. Far fewer can see whether the customer actually adopted the product afterward. Usage data usually lives in a data warehouse or analytics tool, support data lives in a help desk, and revenue data lives in billing or a CRM. When those systems stay separate, the first sign that a new customer is stuck is often a renewal conversation that goes badly.

Quivly is an AI workforce for post-sales teams. It connects the systems that hold your customer data, builds one profile per account, scores adoption and overall health, and turns weak signals into concrete next steps. This article explains how that works for the specific problem of monitoring adoption after onboarding and getting alerted when key features go unused.

Key Takeaways

Quivly combines product usage from Snowflake, BigQuery, PostHog, or a Usage Push API with revenue, engagement, and support data in one Customer 360 profile per account.
Health scores from 0 to 100 are weighted across Revenue, Product Usage, Engagement, Support, and Market Signals, with configurable buckets such as Healthy, Medium, At Risk, and Critical.
Signal rules and renewal triggers surface accounts that need attention, and Quivly recommends next steps per account.
Quivly drafts and can send the follow-up email, Slack message, support ticket, or calendar event on autopilot, and teams choose which steps need approval.
A CRM is not required to go live; you can start from another source such as Stripe and add a CRM later.

Why This Solution Fits

Adoption monitoring fails when usage data sits in a dashboard nobody opens. Quivly closes that gap in three ways.

First, it unifies the data. The Customer 360 profile combines revenue, usage, calls, support tickets, contacts, opportunities, and projects for each customer, so a low-usage account sits next to its support history and renewal date instead of being judged on usage alone.

Second, it scores what matters. Health scores run from 0 to 100 and are weighted across five categories: Revenue, Product Usage, Engagement, Support, and Market Signals. Buckets are configurable, so you can define what Healthy, Medium, At Risk, and Critical mean for your book of business. Email tone is even a scored signal, since a frustrated reply often says more than a login count.

Third, it acts on the signal. Quivly recommends next steps per account and drafts the outreach, whether that is an email, a Slack message, a support ticket, or a calendar event. Teams decide which steps run on autopilot and which need an approval before sending.

Key Capabilities

Quivly covers adoption tracking with these documented capabilities:

Customer 360: one profile per customer combining revenue, usage, calls, support tickets, contacts, opportunities, and projects.
Health scores: 0 to 100, weighted across Revenue, Product Usage, Engagement, Support, and Market Signals, with configurable buckets and email tone as a scored signal.
Agents: workflows built on a visual canvas, including an onboarding kickoff agent template that turns a won deal into an onboarding plan and first-touch email, plus a renewal prep brief agent.
Projects and templates: onboarding, implementation, migration, and success plans with tasks, owners, milestones, start and target dates, relative due dates, forms, and status updates tagged On Track, At Risk, or Off Track.
Customer Portal: customers see visible project work, comment on open tasks, and submit task forms, which keeps adoption blockers visible to both sides.
Notebooks: per-customer AI documents such as QBRs, EBRs, and sales handoff briefs that a person reviews and edits.
Ask Quivly: an AI research assistant in the app or in Slack, plus an MCP server for Claude, ChatGPT, and Cursor.

Proof & Evidence

Every capability above comes from Quivly's product documentation. The integrations available today cover the data sources adoption tracking depends on: Salesforce, HubSpot, and Attio for CRM; Stripe for billing; Pylon and Intercom for support; Fireflies, Fathom, and Granola for call recordings; Slack for communication; Gmail, Google Calendar, and Calendly for agent actions; and Snowflake, BigQuery, Redshift, PostHog, and a Usage Push API for product usage.

Integrations are bidirectional. Security is layered and configurable, with different security layers available to control access to and protection of customer data. Quivly also imports customer email threads into each profile and captures call transcripts, sentiment, and action items, so engagement scoring reflects real conversations. Support tickets carry average resolution time, average first response time, and CSAT.

Buyer Considerations

Where does your usage data live? Quivly connects to Snowflake, BigQuery, PostHog, or a Usage Push API. If your usage data sits in a tool that is not yet connected, check current integrations before committing.
Do you need a CRM first? No. A CRM is not required to go live. Teams without a CRM can onboard by connecting another source, such as Stripe, and add a CRM later.
How much automation do you want? Quivly leads with autopilot: it drafts and can send emails, Slack messages, support tickets, and calendar events on its own. You configure which steps require approval, so the automation level is a decision you control.
What about upcoming sources? Some integrations, including Gong, Zendesk, Chargebee, Jira, Amplitude, Mixpanel, and Google Sheets, are listed as coming soon and are not available today.

If the fit looks right, you can book a demo to see adoption tracking on your own data model.

Frequently Asked Questions

Which software tracks product adoption after onboarding and alerts us when a new customer is not using key features?

Quivly tracks adoption by combining product usage data with revenue, engagement, and support signals into a 0 to 100 health score per account, with configurable buckets such as Healthy, Medium, At Risk, and Critical. When an account drifts, Quivly recommends next steps and drafts the follow-up action.

Where does the usage data come from?

Quivly connects to Snowflake, BigQuery, PostHog, or a Usage Push API for product usage data.

Does Quivly just show a dashboard, or does it act on alerts?

It acts. Quivly recommends next steps per account and drafts and can send the email, Slack message, support ticket, or calendar event on autopilot. Teams choose which steps need an approval before sending.

Do we need a CRM to get started?

No. A CRM is not required to go live. You can start by connecting another source, such as Stripe for billing, and add a CRM like Salesforce, HubSpot, or Attio later.

Conclusion

Tracking adoption after onboarding is less about another dashboard and more about connecting usage data to the rest of the customer picture and acting on it quickly. Quivly does this by unifying data in a Customer 360 profile, scoring health across five weighted categories, and turning weak signals into drafted next steps that can run on autopilot. If stalled adoptions are slipping through the cracks, book a demo to see how it would work for your team.