The Home Depot | Tableau Dashboards
Project Objective
Assumptions and Problem Context
The Content team needed a faster, more efficient way to analyze visit-to-lead conversion rates and track the impact of content changes. We assumed that:
A streamlined dashboard could simplify data analysis and support quicker, data-driven decisions.
Identifying trends in conversions and sales would help improve content strategies.
By helping the team optimize service pages, the dashboard indirectly meets customer needs by making pages more relevant, easier to navigate, and better aligned with their goals.
Case Study
The Home Depot’s content team needed a more efficient way to analyze the impact of content changes on service pages, particularly focusing on visit-to-lead conversion rates. The challenge was to help the team quickly and accurately compare pre and post-content change performance, so we could spot trends in conversions and sales to inform future content strategies.
The Strategy
By focusing on these priorities, my goal was to give the content team the ability to efficiently analyze performance and the impact of content changes, supporting the team’s ongoing optimization efforts. The primary goals were:
User-Friendly Design
Comprehensive Insights
Design Solution
To address this objective, I designed a Tableau dashboard that allowed side-by-side comparisons of pre and post-content change data. The dataset was provided by the analytics team, ensuring that the analysis was based on accurate and up-to-date data.
I created the dashboard in Tableau. I added a background image that I designed in Figma for visual consistency and clarity and added an overlay of charts to display week-over-week conversion and sales trends, giving the team with a clear and concise view of performance metrics over time. This allowed the team to quickly identify shifts in user engagement after making content changes to the service pages.
The Technology
Tools: Tableau & Figma
The project leveraged several key technologies:
Tableau Desktop: Used to build and configure the dashboard, enabling dynamic data visualization and interaction.
Figma: Utilized to create the background image for the dashboard, ensuring an aesthetic UI and consistent user interface.
Data Source Warehouse: The dataset provided by the analytics team was sourced from our internal data warehouse, ensuring that the analysis was based on accurate and up-to-date information.
Program Comparison Tableau Dashboard
Project Objective
The Home Depot’s content team needed a more efficient way to analyze the performance of service provider banners, with a focus on visit-to-lead conversion rates. The challenge was to present this data in a way that would allow the team to quickly understand the effectiveness of localized content displayed dynamically on service pages, identify high-performing areas, and pinpoint opportunities for improvement.
The Strategy
The strategy for the tableau dashboard focused on creating an intuitive tool that simplified data analysis for the content team. The primary goals were:
Clarity and usability
Comprehensive insights
Targeted insights
This approach aimed to help the team efficiently analyze and respond to content performance, supporting continuous improvement.
Design Solution
To meet this objective, I designed a Tableau dashboard tailored for the content team’s needs. The dataset was provided by the analytics team, ensuring that the analysis was based on accurate and up-to-date data. The dashboard presents key metrics, such as:
Visit-to-lead data
Service types
Specific service pages
Leads and sales insights
Additionally, I incorporated a heat map to highlight top-performing service providers based on leads. This feature helps the team quickly identify key trends and success areas. As with previous Tableau projects, I used Figma to design the background image, and Tableau Desktop to build the dashboard.
The Technology
Tools: Tableau & Figma
The project leveraged several key technologies:
Tableau Desktop: Used to build and configure the dashboard, enabling dynamic data visualization and interaction.
Figma: Utilized to create the background image for the dashboard, ensuring a visually appealing and consistent user interface.
Data Source Warehouse: The dataset provided by the analytics team was sourced from our internal data warehouse, ensuring that the analysis was based on accurate and up-to-date information.
Service Provider Tableau Dashboard
Final Thoughts
Overall, the goal was to provide the content team with a dashboard that could help them make data-driven decisions by presenting performance metrics in a way that’s both clear and actionable. By simplifying the analysis of visit-to-lead conversion rates and content performance, the dashboard enables the team to identify trends and make optimizations more efficiently.
This project reinforced the importance of creating intuitive tools that not only support internal workflows but also indirectly improve the customer experience by ensuring service pages are better aligned with user needs.