Calliper is a collaborative analytics platform backed by Sequoia Capital. The product helps startup founders build data-driven teams by focusing on the metrics that matter. Get clarity on the most important metrics, from every team, in one place.

Unlike most data tools out there, you don't need to be an engineer or a data scientist to set up Calliper. You can connect your data sources in minutes with zero coding needed. Once you've connected your tools, Calliper will analyse data and serve insights.

With this project we wanted to create a feature that attracts users to log in the product more frequently. We know that decision making in any business involves collection & analysis of data.

Focusing on the right goals, will help you survive and grow. What goals do you set? How do you follow through? Too much noise and lots of data scattered around tools. Takes time, confuses companies.

I tapped into existing research and interviewed co-founders to shape our assumptions. To save time and focus on product strategy work, one of the co-founders and I developed a questionnaire and participant criteria. We then hired an external researcher to conduct the interviews.

As the market for data products and OKR software is already crowded, I aimed to investigate what was working and where there was room for improvement. To narrow down the focus of my research, I concentrated on OKR and goal tracking software since we already had some knowledge about data products.

The external researcher did 15 interviews with a questionnaire focused on open-ended questions. We were collaborating closely the entire time using Slack & Looms to ensure we collect data accurately. We created a robust questionnaire that was tapping into topics such as data quality, time & data, collaboration, etc.

How data-driven is your organisation on a scale of 1-10? Do you care? What stops you from being a 10?How effectively do you feel your teams collaborate around data & metrics? How do they do it? Could you tell me about an important decision you made recently? How did data play into this decision?

I trialed 8 different products and documented the flows in Figma. I wanted to understand how are OKR products working?

Can you connect data sources and report on quantitative, measurable key results? How easy it is? Do you need to code or write SQL?

I spent 2 days mapping clusters of information given to us by customers. The snapshot bellow is representative of the work in progress.

I analysed 200+ data points from 15 different founders of early stage companies. Some of the challenges: keeping track of everything in Notion & Miro