Robokits - Ecommerce Analytics

Robokits - Ecommerce Analytics

Robokits - Ecommerce Analytics

Timeline
Timeline

May to June 2025

Tags
Tags

Rancho Labs

Ecommerce Analytics

Internal Tool

CONTEXT

CONTEXT

Rancho Labs: Where Kids Actually Learn Future Skills
Rancho Labs: Where Kids Actually Learn Future Skills

Rancho Labs is an EdTech startup that partners with schools and students to teach next-generation skills like AI, Robotics, and Coding. They offer multiple products, including a Learning Management System (LMS) and an e-commerce platform where schools and students can purchase STEM kits and courses. As the e-commerce platform expanded, orders and data grew rapidly, but the team struggled to track insights efficiently. Information was scattered across systems, forcing teams to depend on developers for reports, which often took hours or even days. To solve this, the company needed a centralized and accessible way to visualize key data instantly, leading to the creation of an Analytics Dashboard.

PROBLEM

PROBLEM

Ton of Data, Zero Clarity
Ton of Data, Zero Clarity

Leaders wanted quick answers to questions like “Which kits are selling?” or “Are we losing people at checkout?” but the insights were buried in spreadsheets and developer reports. Getting even simple numbers took too long, making it difficult for the team to make fast, data-driven decisions.

WHAT I DID

WHAT I DID

I Talked, Listened, and Dug In
I Talked, Listened, and Dug In

I started by talking to the people who needed this data most. I asked what questions they struggled to answer and what parts of their workflow slowed them down, to understand where better visibility could make the biggest impact. Then I explored what data was already available. There was plenty of it, but accessing it was difficult and time-consuming. I also studied dashboards from platforms like Shopify and Stripe to learn how they present complex data in a simple, readable way. The goal was clear make key information instantly visible and easy to understand so anyone could get insights within seconds without relying on reports or developers.

HOW BUILT IT

HOW BUILT IT

Made It Simple, Made It Visual
Made It Simple, Made It Visual

Began with rough sketches and asked the team “does this make sense?” Moved to crisp designs, picking charts, colors, and layouts that let people get the big picture instantly. Built a clickable prototype and watched real folks test it, learning fast what worked and what didn’t. Rule: if it felt confusing or overwhelming, out it went.

SOLUTION

SOLUTION

One Dashboard, All the Answers
One Dashboard, All the Answers

The final dashboard brings all key business metrics into one place. Now, anyone on the team can log in and get answers instantly without waiting for reports.

Main sections include

  • Sales Overview: Tracks total sales and trends by day, week, or month.

  • Top Products: Highlights the best-selling kits and courses.

  • Customer Insights: Shows data on new and returning customers.

  • Live Activity: Displays real-time orders and website activity.

  • Checkout Funnel: Reveals where users drop off during checkout.

  • Filters: Allows viewing data by specific products or time periods.

PROTOTYPE

PROTOTYPE

Prototype in Action

I built a real Figma prototype so you can explore how data flows and see how the entire dashboard fits together.

IMPACT

IMPACT

Decisions in Seconds, Not Days
Decisions in Seconds, Not Days

This design shows how a clear, centralized dashboard can simplify decision-making and make data more accessible across teams.

  • Everyone can get the numbers they need instantly

  • Teams can spot problems early and act faster

  • Engineers can focus on building features instead of pulling reports

  • It also reduces confusion over “whose data is right” With better visibility, teams can make smarter decisions and drive higher conversions

LEARNINGS

LEARNINGS

Shrink the Scope, Solve the Pain
Shrink the Scope, Solve the Pain

Fewer but more meaningful metrics make the dashboard easier to use Design should solve real problems, not just look good User feedback improves the product faster than working alone Releasing a simple version early is better than waiting for perfection

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