Sajjad Abedi
Atlan needed to serve business users, not just data experts, to drive growth. Instead of forcing users to learn our interface, I brought Atlan into Google Sheets and Chrome via extensions. This increased metadata enrichment by 40% and expanded our user base significantly.

Product growth

Tl;dr

Atlan needed to serve business users, not just data experts, to drive growth. Instead of forcing users to learn our interface, I brought Atlan into Google Sheets and Chrome via extensions. This increased metadata enrichment by 40% and expanded our user base significantly.

The growth challenge

Atlan started as a tool for data experts, but we hit a growth ceiling. To expand, we needed to serve non-technical business users without alienating our core audience. I led the design effort to make Atlan accessible to both technical and business users while driving data enrichment across the platform.

Goal: Grow our user base by making data discovery intuitive for business users while keeping data experts productive.

Understanding the problem

Data experts and business users have completely different needs:

We also needed to increase data enrichment across the platform in a way that felt natural, not forced.

Breakthrough insight

After mapping user journeys for both personas, I had a key realization: instead of forcing business users to learn our interface, we should bring Atlan to the tools they already use daily.

The solution: Integrate Atlan into Google Sheets and Excel, plus create a browser extension for seamless access to data context wherever users work.

Google Sheets integration

I designed a seamless way for users to collaborate on data assets using familiar spreadsheet tools. This removed the barrier of learning new interfaces while still providing Atlan's powerful data context.

Showcasing the assets page of Atlan, with a grid of data assets in dashboard
Assets page before user starting a collaboration.

Users can start collaborating directly from the assets page by choosing their preferred tool: Google Sheets or Excel.

Screens from design system audit workshop
Screens from design system audit workshop
A banner has been added to the navigation to showcase this feature.

Once data is exported to their spreadsheet, users can collaborate with their teams in a familiar environment and sync changes back to Atlan when ready.

Using Google Sheet Add-ons to sync back changes to Atlan
Using Google Sheet Add-ons to sync back changes to Atlan
Screens from design system audit workshop
All the state of Atlan Add-ons

Browser extension

The second solution was a Chrome extension that brought Atlan's data context directly into users' existing workflows. Instead of switching between tools, they could access data information wherever they were working.

I designed an admin interface where companies could configure and deploy the extension across their organization.

Settings page of the Atlan
Configuration modal for installing extension company-wide
Configuring and setting up the browser extension across the companye.

When users work in tools like Tableau, they can instantly see metadata and context from Atlan without switching applications. This eliminated context switching and made data discovery effortless.

Screens from design system audit workshop
A banner has been added to the navigation to showcase this feature.

Preparing for launch

As we approached launch, I focused on polishing the user experience and incorporating feedback from early test users. The key was ensuring both integrations felt natural and didn't disrupt existing workflows.

Configuration modal for installing extension company-wide
Configuring and setting up the browser extension across the companye.
Illustration for browser extension welcome screen
Illustration for browser extension welcome screen
Illustration for browser extension welcome screen

The results

The launch exceeded our expectations and proved that meeting users where they work drives adoption:

Key metrics:

User feedback: Business users loved being able to work with data in familiar tools, while data experts appreciated that more people were contributing to data quality.

This project proved that the best way to expand your user base is to adapt your product to their existing workflows, not force them to adapt to yours.