<aside> <img src="/icons/star-of-life_gray.svg" alt="/icons/star-of-life_gray.svg" width="40px" /> We’re built around the philosophy that we should fit into the user’s workflow with minimal disruption. This is why we are based on spreadsheets. The same philosophy extends to our use of AI to make our users lives better… without adding noise to the way they work today.

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Decision Making + Data Analysis + AI

All our current analysis and reports are targeted at specific revenue decisions. The same will carry over to our AI strategy. Our mission is to simplify data analysis to an extent where business users can make data driven decisions at lightning fast speeds. A decision maker should not be blocked on data engineers and analysts to do their job.

Our AI strategy is designed around these core learnings about our customer base:

• Our customer base is not data-savvy.
• Our customer base doesn’t know what questions to ask.

At the same time, over the last six months of experimentation we have found limitations in using OpenAI for analyzing data. But, when used correctly, it shines in providing creative feedback based on data.

What are the implications from our understanding of the customer base?

Our customer base is not data-savvy.

• While they use spreadsheets, their expertise is limited to basic operations.
• They do not understand what data is collected and how data is structured behind the scenes.
• They do not know what data will give them access to the information they need to make a certain decision. This is at a conceptual level too. E.g., the founder asks them to find out if customers acquired over the last 3 months came to them to get last season’s designs at a discount or because they found the current season designs attractive. While the goal is clear, they do not know what information inside Shopify they should look at to answer that question.

Our customer base doesn’t know what questions to ask.

• We work closely with our userbase to understand the decisions they make. We also saw them struggle when we gave them a powerful query-builder to pull any data they wanted.