Wireframes

Analytics Dashboard

Analytics Dashboard

Analytics Dashboard

Transforming plain data tables into a visually digestible dashboard that helps business owners make decisions.

Transforming plain data tables into a visually digestible dashboard that helps business owners make decisions.

Transforming plain data tables into a visually digestible dashboard that helps business owners make decisions.

Overview

S4D provided two very basic dashboards that show the performance of the restaurants; one for the franchisees, the other for the HQ. Product Owner wanted to merge the two dashboards and create an insightful dashboard, which allows users to compare the performance among different stores.
Based on the Product Owner’s rough draft on the dashboard structure, I created wireframes that indicate how to show what data, and UI Designer created final designs.

Overview

S4D provided two very basic dashboards that show the performance of the restaurants; one for the franchisees, the other for the HQ. Product Owner wanted to merge the two dashboards and create an insightful dashboard, which allows users to compare the performance among different stores.
Based on the Product Owner’s rough draft on the dashboard structure, I created wireframes that indicate how to show what data, and UI Designer created final designs.

Overview

S4D provided two very basic dashboards that show the performance of the restaurants; one for the franchisees, the other for the HQ. Product Owner wanted to merge the two dashboards and create an insightful dashboard, which allows users to compare the performance among different stores.
Based on the Product Owner’s rough draft on the dashboard structure, I created wireframes that indicate how to show what data, and UI Designer created final designs.

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Deliverables

Wireframes

Time

October 2023 (in total 45 hours)

Project type

Project at S4D

Role

UX Designer

Team

Product Owner

UI Designer

Original dashboards and their problems

Original dashboards and their problems

Based on the document that Product Owner created, I reviewed what data the original dashboards showed, how they are presented and how we would like to improve them in creating a new one. Below are the main problems that the original dashboards had.

1

1

No visual aids to help users understand the performance easily

2

2

Difficult to compare the performance among stores

3

3

Hard to see the correlation between two different data

4

4

No way to check the performance of each product

Original dashboard for HQ

(Test environment)

Original dashboard for franchisees

(Test environment)

Visually track the performance

Visually track the performance

Based on the basic structure that the Product Owner created, I decided to incorporate graphs wherever comparison of data gives users insights on their performance.

Before

How the original dashboard (Test environment) show
the comparison of performance with the past period

How the original dashboard (Test environment) show the comparison of performance with the past period

How the original dashboard (Test environment) show the comparison of performance with the past period

After

I made the wireframes in a way that users could compare the performance

with the past period at a glance.

I made the wireframes in a way that users could compare the performance with the past period at a glance.

Extract the data of selected stores

Extract the data of selected stores

The original dashboard showed the data per store in alphabetic order, which made it difficult to compare the performance among the stores. I decided to create a section where users can select the stores that they are interested in.

Before

The first column shows the store names. You can maybe imagine how difficult it could be to compare the data of Amsterdam store with that of Utrecht store!

After

In the wireframe, users can select and extract the data of the stores that they want to check, again with the graph for easy comparison.

Help users analyse the data

Help users analyse the data

The large data table of the original dashboard didn’t really give users any insights. Did the gross sales increase because there were more orders? Or was it because the average order value (AOV) was higher? I tried to give them more insights by showing the graphs of different types of data together while paying attention not to make them overwhelming.

Before

Users needed to know which data to pay attention to and how to analyse
in order to gain any insights on the original dashboard.

Users needed to know which data to pay attention to and how to analyse in order to gain any insights on the original dashboard.

After

I tried to help users find a starting point of their analysis and understand the correlation of different data.

Show the data per product

Show the data per product

For some users, it is important to see the performance of each product to make a business decision. I incorporated a way not only to check the total performance of a group of products as suggested by the Product Owner, but also to check and compare the performance of individual products.

Before

If users try, it was still possible to compare the data among the stores or different time periods, but the performance of each product was not visible anywhere.

After

The new interface lets users examine the performance of a maximum of 5 diverse products, potentially aiding in strategic business choices.

Wireframe overview

Wireframe overview

Here is the result of my attempt to solve the identified problems. On each tab, I tried to show the hierarchy among the available data, utilising visual aids.

Results

Results

Due to a change of the situation, the project had to be paused before it was developed. Therefore, we don’t have the clear impact that the new dashboard would bring to the people in HQ and franchisees unfortunately.
However, the Product Owner was very excited about its potential after I presented the wireframes. We hope that one day it will help the users make the business decisions.