PRISM

Connect support tickets to product usage.
Prism correlates Zendesk topics with feature-level behavior to pinpoint the root cause and rank fixes by revenue at risk.

A spike in tickets is a symptom. Prism finds the product cause and quantifies the impact.

Noise masks patterns.

Without correlation, you chase anecdotes

Teams fix low-impact issues first.

From ticket noise to product truth.

Theme clustering

Real-time grouping of issues and requests.

Zero manual tags

Usage linkage

Identify the exact step, device, or version driving pain.

Root cause

Impact ranking

Frequency × ARR × churn risk scoring.

Fix what pays back

Closed loop

Owners, suggested replies, and KB updates included.

Faster resolution

Set up Prism in just 1 day.
No engineers, no workflows.

1Invite Prism to Slack

2Connect your data sources

3Connect your knowledge base (optional)

4Connect your action tools (optional)

5Approve or add business goals and KPIs

Prism watches your data and turns every change into the next best move.

See the whole picture

Prism connects signals across marketing, product, support, and beyond to reveal insights no single tool ever could

Understands your business

Prism connects to your knowledge bases to pick the right context. It learns your business, its goals, and its people

Activation rate

% of users completing onboarding

Takes action

Prism acts on insights for you, saving hundreds of manual hours with 100+ integrations.

Issue refund

Draft winback campaign

Reply to customer

Trigger feature flag

Open ticket

Send in-app nudge

Open upsell opportunity

Pause ad campaign

Generate PRD draft

Issue refund

Draft winback campaign

Reply to customer

Trigger feature flag

Open ticket

Send in-app nudge

Open upsell opportunity

Pause ad campaign

Generate PRD draft

Proactive by design

Prism is always on, surfacing opportunities before they slip away.

Your first 30 days turning support tickets into product insights.

Day 1

Wire Zendesk to product data

Connect Zendesk and analytics.
Define critical categories.
Invite support and product to a shared channel.

Day 7

Themes with numbers

Patterns bubble up with context.

Spikes linked to steps and cohorts.
Priority list by revenue at risk.
Draft replies and macros suggested.

Day 30

Support informs roadmap

Fewer repeats; happier users.

Fixes reduce ticket volume.
Product learns from every surge.
Retention improves on affected cohorts.