Connecting data silos across Apollo Studios into one source of truth.
At Apollo Studios, I owned the end-to-end design and development process of connecting data silos across the company into a single source of truth.
My project involved building for two audiences: a non-technical C-Suite team and developer leads. The dashboard gave the power users a comprehensive look into the RPA data, but it also was a dream interface for someone who didn’t know the intricacies of the engineering.
I designed and built the product, iterating with feedback through interactive prototypes. I used a Catalyst UI component library to develop quickly and create a solutions-oriented product.
I worked as a design engineer intern for Apollo Studios, an early stage startup that automates workflows for businesses using RPAs
Team: Design engineer intern, data science intern, PM
Bog Logs - Get insights and take action

A solutions oriented product.
We aimed to actually solve the dat silo problem at Apollo Studios. Our goal? Making both audiences satisfied with their level of control and detail into their data.
The dashboard actually contributed to finding duplicate bots in the database, underperforming bots by over 80%, and a large error in the calculation of business exceptions.
The Control Room - Action built on data

Taking action on your data.
This dashboard was designed to help operations teams monitor RPA (robotic process automation) outcomes – successes, failures, and transaction metrics – at a glance.
With this design, an operations manager can quickly see how many processes succeeded vs failed, and drill down into the failure logs to troubleshoot issues. All in one screen.
The Control Room - Action built on data


Make the next move on your analysis, all in one workflow.
The goal was to not just show the data, but let users take direct action.
In many dashboards, charts and tables become passive: they inform but rarely guide. The user is left to interpret, decide, and act; Often across disconnected systems.
Interfaces should serve as operational surfaces, spaces where insight and action are co-located.
Bog Logs - Get insights and take action


Query your data in natural language.
I leveraged the new capabilities of LLMs and worked with a data scientist to develop a chat-based interface for users to query their data.
We didn’t just want to present the “what”, but also enable our users to ask the “how” and “why. This was one of the C-Suites favorite features since they could get insight into the performance of their bots, without needing a developer.
I realized that taking action on the data is critical in the age of AI.
Natural language query into your data
Building for outcomes.
Building for outcomes.
Executives at Apollo Studios achieved their goal of being able to access data insights into an otherwise incomprehensible MongoDB database.
RPA engineers were able to understand the reasons why their bots were failing and which bots were underperforming.
Clients were able to quickly access realtime updates about their RPAs at Apollo Studios and their performance.
+91% Faster Access to Client Data
Data Cleaned 4 Million Entries
Increased Transparency to Clients