eamli Visual Design

eamli is an AI-powered decision-intelligence platform that powers data-driven decision making using real-time data-driven insights to analyse millions of possibilities in ways other solutions can’t. eamli models the future so that businesses can see the impact of their decisions before they are made, helping companies save time and money while improving operational efficiency.

Role
eamli Visual Design main image

The Problem

Organisations struggle with the complexity of making business-defining decisions based on traditional technologies and the information that they have available to them.

Decision makers inside organisations are under immense pressure to identify and produce outcomes based on data that is often out of date or not appropriate.

The Goals

The founder of eamli had a working proof of concept that was tested and validated with friendly organisations. The next stage was to transform the proof of concept into a viable product that could be used easily by decision-makers and organisations.

Discovery & Exploration

During the initial discovery and exploration phase I worked closely with the eamli founder and other key stakeholders to understand the technology, identify core user groups/customers and prioritise core features. At this stage, I also helped to determinate the competitor landscape to identify what is best practice in relation to other similar products.

Three images showing Miro planning and research boards and a screenshot of the eamli competitor analysis

The Solution

Once we collated and reviewed all of our learnings we worked together to prioritise the initial feature set.

Features to be considered:

Product Architecture Design

Once the feature set was prioritised, I was responsible for creating a product map and a user journey map that allowed all stakeholders to understand how the product would connect together.

A screenshot of a product sitemap showing the various sections of the eamli platform

Wireframes were then designed and used to test user journeys and functionality. Wirteframes were tested using a Figma prototype over video calls with friendly users.

Testing the wireframes allowed us to validate the design decisions made during the discovery phase and make iterations quickly.

Example wireframes for the eamli product

Visual Design

Once the product architecture was tested, refined and signed off I was responsible for designing the user interface.

It was important to create a UI that was clear, concise and met accessibility standards. The UI itself had to be functional and user friendly in order for the user to easily understand how interactions and product processes work.

4 screens showing examples of the eamli MVP UI including the dashboard and user onboarding screens

Desktop and mobile styles were both considered however this product was deemed a desktop first experience due the amount of information and charts that are shown to the user.

3 screens showing examples of the eamli MVP mobile UI

The Outcome

The founder of eamli used the initial visual designs as a way to test the platform, learn more from our users, identify ways to improve the product and identify how to get it to market successfully.

Based on the technology and overall product experience, IBM quickly showed interest and became a partner. The eamli team used the IBM partnership to help enhance the product, and a later version is now listed on the IBM Cloud Paks Partner Showcase.

During this time, a UK Government Ministry identified eamli as the ideal solution to help them with their long-term procurement decision planning. eamli has allowed the Ministry to make smarter procurement decisions that have helped them move closer to achieving their objectives. The Ministry is still in partnership with the eamli team, helping to improve the product experience for the future.

More recently, an improved version of eamli won the Digital Innovation of the Year award at the Digital DNA awards and is actively being considered and implemented by other organisations to help them with their future decision making.

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