UX/UI Redesign

Actionable insights not analytics

Actionable Insights - Dashboard

Active.AI is a fintech startup that specialise in conversational AI chatbots for banks. They wanted to redesign their analytics to provide clients with a better idea of how their AI chatbots were performing.

Existing Analytics 
Information was not well organised and included many unnecessary datapoints. Interface also looked cluttered.

Unable to easily picture trends and opportunities. Requiring users to analyse and interprete the data themselves.

Old Analytics Screenshot

Redesign Analytics

Focus on what matters to capture the full picture. Organised in an infographic style for quicker visual interpretation.

Infographic Style

Infographics are effective because they simplify information and make use of the human ability to see patterns and trends.

Before designing, it is important to research other competing products, understand the users and look at industry trends.

Competing Products

There were certain features where the competitors were delivering well-thought out solutions. There was no need to reinvent the wheel. Solutions that users need are worth copying.

Users

Users were frustrated that there were data they needed from the analytics but it was lacking.

Interface was not pleasing and hard to use.

Industry Trend

Research by Gartner1, finds that augmented analytics will be the future for data and analytics. Machine learning & NLP will automate data preparation.

Users will be able to ask questions where the computer is able to process.

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"We believe data is our oil, our gold, but having hundreds of millions of terabytes of data that isn’t actionable really does nothing for me."

Rob Roy, chief digital officer at Sprint

User Expectation 1

The challenge is to turn data into helpful insights to drive meaningful improvements for businesses.

Users expect technology to understand their audience and make those timely connections.

1

Organising data based on what users will ask

Are our customers satisfied with the chatbot?
How often do they use it?
Who are these people who are using it?

By focusing on the questions that users would like to know. The analytical data is organised with these questions as headers.

2

Analytics that users can take action on

It is not just enough to show users numbers. But also how the steps they can do to improve these numbers.

Users are able to deep-dive into specific questions where the bot fail to answer a query.

Scoring key metrics to communicate complex data quickly

Quick gauge of the current performance by combining multiple relevant data points.

key-metrics-widget
Account balance comparison

Alerting on what matters

Spot problems without constantly monitoring. Quicker intervention when problems first arise.

Customers segmentation

Tailor product & services to specific customer profiles. Campaign strategies using targeted messages can be sent to specific groups.

User Segmentation Widget
User Segmentation Widget

Don’t reinvent the wheel

We bring features that are available in the market and giving what users wanted. Copy when the feature is good and users need it.

Key Takeaways

Finding that niche space where we can perform differently from the competition.

Sources

1. Gartner: Augmented Analytics Is the Future of Data and Analytics - Article
2. Google: How integrated data and technology helped 3 companies transform their marketing  - Article

Next Project

Designing conversations for AI

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User experience is about stories not portfolio.
Get in touch to hear more.
User experience is all about stories not portfolio. Get in touch and hear more.
User experience is all about stories not portfolio.
Get in touch and hear more.

User experience is all about stories not portfolio. Get in touch and hear more.