← Enlitia 🇵🇹
  1. Problem & Goals
  2. How we conducted research and what we found
  3. Key product metrics for B2B and B2C as measurement of success
  4. Our MVP solution
  5. Results of the product test run
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Platform for renewable energy performance management

Category

SAAS & CRM

Duration

Nov 2022 - Mar 2023

Enlitia is an innovative software development company that provides machine learning (ML) services with a specific focus on the energy sector. Their services focus on developing ML algorithms (forecasting, detecting potential asset failures) tailored to each client's unique challenges and problems.

Being a Lead Designer in a cross-functional team (UX Designer, 2 React Developers), our team created a white-label solution that combined and integrated forecasts from different energy sources in a customisable and easy-to-use web interface.

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Problem

Renewable energy companies lack a user-friendly system to monitor and optimize the performance of their diverse assets like wind turbines and solar panels, leading to Operations & Maintenance, and deviation costs.

Goals

Our primary goal in working together was to design an interface that would present the results of the machine learning algorithms in a clear and concise manner, eliminating the need for detailed technical descriptions and complex user interactions. The next step in our collaboration was the development of white-label platforms to meet the specific needs of our client's customers.

Minimize number of clicks

Give users all relevant information in one place. Create intuitive navigation that follow the workflow of the renewable energy engineers.

Create a versatile design library

Provide adjustable interface solutions to effectively address similar needs of the client's customers.

How we conducted research and what we found

Our main priority centered on both developing an in-depth knowledge of the renewable energy ecosystem and identifying critical friction points where our solution could deliver measurable impact.

3 stakeholder interviews to understand business insights

Conversations with business owners client revealed motivations and challenges of building the product in different areas.

Competitive matrix to identify design language opportunities

In cooperation with Enlitia team, we mapped key players in the European AI-driven energy space. By doing so, we discovered opportunities to facilitate contrast in the way our interface would communicate similar technical concepts.

6+ hours of engineering sessions to gain critical user insights

We facilitated long walkthroughs with farm engineers to understand how they navigated their day-to-day asset management workflows.

Key research findings

We have separated our research summaries into B2B and B2C groups, as early on we saw that the goals would be quite distinct and should be addressed separately.

B2B Focus: farm owners & business partners

1

Flexible product architecture

Design modular components that accommodate different client data operational contexts, enabling rapid customization without months of extra work.

2

Appealing data visualization

Prioritize compelling visual analytics as our competitive differentiator to demonstrate a clear value proposition.

3

Scalable design system

Create adaptable interface patterns that maintain Enlitia's brand integrity independent from white-label changes.

4

Task-centered interface

Structure interfaces around high-value features: automated reporting, exportable analytics, smart KPI dashboards, and performance visualizations.

B2C Focus: asset managers & engineers

a

Contextual navigation

Design clear hierarchical navigation (farms → individual assets) with natural transitions between levels to eliminate cognitive overload.

b

Accessible & consistent color coding

Implement consistent color system for important information like asset status or data quality to enable rapid visual scanning.

c

Multi-modularity in the interface

Provide flexible view options (tables, maps, cards, graphs) allowing users to analyze the same information through different lenses.

d

Optimized information architecture

Refine the user flow, until there is no way to decrease number of steps to allow the customers to make an informed decision.

Key product metrics for B2B and B2C as measurement of success

We agreed with the client to evaluate our work across both user segments, ensuring the design solution delivers a numeric value.

B2B: Earn trust

000%

Adoption rate

Track trial-to-paid conversion to validate onboarding effectiveness and initial value demonstration.

000

Web perfomance score

Optimize interface loading times and technical performance to meet business expectations of immediate app feedback.

00

Time to value

Measure how quickly new clients can assess their system status and derive actionable insights post-signup.

B2C: Maximise efficiency

000%

Top tasks completion rate

Track successful completion of critical workflows: identifying problematic assets via notifications/maps, setting alerts, generating reports, and successful asset switching.

000%

Click-through tate

Number of times the problematic asset alert was clicked divided by the number of times the alert was shown (system notification, email, filter).

000%

Ratio of content v navigation

Optimize interface real estate to maximize data visibility while maintaining clear navigation.

000%

Error recovery rate

Design robust error handling including prevention (clear labeling), detection (connection status), recovery (retry mechanisms) to maintain critical functionality.

AAA

Accessibility score

Ensure optimal performance across devices, screen sizes, and lighting conditions.

000%

Self-service success rate

Measure % of users who successfully complete tasks without contacting support for key workflows: find the problematic asset, export a data sheet, and switch between farm and asset.

Our MVP solution

During my final months at the agency, we successfully built and tested an MVP with two farm companies, delivering measurable results for our client.

All decision-making information in a single dashboard

Global health indicators

Display overall portfolio performance at the top with clear stats on production levels, data quality, and farm status so our customers instantly understand their system's health.

Multiple view options

Provide tables, maps, and split views below the main indicators so users can monitor farm health and spot problems using their preferred method.

Analyze asset performance in just 2 clicks

Structure information so users can reach detailed asset views in minimal steps. Once there, they can explore algorithm outputs through graphs, charts, and data visualizations to fully understand what's happening with the assets.

Results of the product test run

The testing process went overall smoothly, and we successfully supported the development team through completion of our vision. Challenges along the wat pushed us toward a simpler, cleaner functional interface.

Client's feedback

We are happy with the correct outcomes of our work with Angle2. The team seamlessly collaborates on the process, demonstrating solid communication and an excellent management style. Furthermore, their business knowledge and adeptness are the hallmarks of their work. 

B2B

100%

Adoption rate

Both test companies chose to continue after the trial period.

90

Web perfomance score

Interface loading and technical performance met enterprise standards.

3 steps

Time to value

Users immediately see all farm data in combined table and map format upon login.

B2C

95%

Top tasks completion rate

Users easily understood navigation and appreciated logical information grouping.

88%

Click-through rate

Color coding made problems visible quickly, and managers found the hierarchy clear.

75%

Ratio of content v navigation

Minimal navigation with anchor highlights worked well  across desktop as primary target, as well as  mobile devices (84%).

60%

Error recovery rate

Needs improvement—users struggled to recover from critical system errors and return to their workflow.

AA

Accessibility score

Met WCAG 2.1 standards with flexible color coding. We used OKCHA shades in the automated color themes approach to guarantee the system can adapt without our involvement.

82%

Self service

Most test customers could figure out the critical interactive elements in the interface.