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Orbitlytics · SaaS · San Francisco

Analytics that people actually open — data, humanized

Orbitlytics gives growth teams a single view of product analytics. We redesigned onboarding, dashboards, and the entire data-viz language so new users reach their first insight without churning.

+0%

User activation

+0%

Demo-to-close rate

0 wks

End to end

Generative artwork representing Orbitlytics case study
Impact dashboard

Performance at a glance

Before vs After

Key metrics at launch vs. post-launch

User activation28%46%
Before
After
Demo-to-close12%17%
Before
After
Support tickets340/mo98/mo
Before
After

Activated users by vertical

Share of measured outcomes

100%Total
  • SaaS42%
  • E-commerce31%
  • Media17%
  • Other10%

Growth trajectory

User activation rate (%)

The Challenge

Orbitlytics had built a technically impressive analytics platform — event pipelines, cohort analysis, funnel visualization — but growth teams couldn't get past the onboarding wall. New sign-ups churned within 48 hours, never reaching their first meaningful insight.

Sales demos went well because reps guided prospects through the product. Self-serve users, however, faced a blank dashboard with 200+ configuration options and no clear starting point. Demo-to-close rate lagged competitors with simpler, uglier tools.

Pain points severity (pre-project)

User research & stakeholder interviews

Onboarding92%
Data complexity85%
Self-serve churn88%
Demo alignment70%

Our Approach

1

Discover

We reframed onboarding around outcomes, not features. Instead of "Set up your events," the flow asks "What do you want to understand?" and generates a pre-configured dashboard template with sample data, so users see value before connecting their own pipeline.

2

Design

The data visualization language was rebuilt from scratch: a constrained palette, consistent chart types, and annotation patterns that explain what the data means — not just what it shows. Every chart includes a one-line insight summary generated from the underlying metrics.

3

Build

The data visualization language was rebuilt from scratch: a constrained palette, consistent chart types, and annotation patterns that explain what the data means — not just what it shows. Every chart includes a one-line insight summary generated from the underlying metrics.

4

Launch

The data visualization language was rebuilt from scratch: a constrained palette, consistent chart types, and annotation patterns that explain what the data means — not just what it shows. Every chart includes a one-line insight summary generated from the underlying metrics.

What We Built

A guided onboarding flow with outcome-based templates (retention, activation, revenue) that ships a working dashboard in under 3 minutes, using intelligently generated sample data.

A redesigned dashboard system with 12 chart primitives, dark/light themes, and responsive layouts that work on mobile for quick metric checks.

An in-app insight layer — contextual annotations on every chart explaining trends, anomalies, and recommended next actions. Sales team adopted these as demo talking points.

A redesigned marketing site and demo booking flow aligned with the product's new visual language, with embedded interactive product tours.

Results & Impact

+64%
User activation
+38%
Demo-to-close rate
12 wks
End to end

User activation rose 64% — defined as reaching a first custom insight within 24 hours of sign-up. Demo-to-close rate climbed 38% within weeks of launch, as sales demos now matched the self-serve experience.

Support tickets related to "how do I get started" dropped 71%. The project ran end-to-end in 12 weeks, including user testing with 24 growth teams across SaaS, e-commerce, and media verticals.