Lowlytics: An AI-assisted enterprise application development platform
An AI-assisted low-code platform designed to simplify enterprise app development, featuring intuitive dashboards, real-time monitoring, and self-documenting code.
Client: A tech startup specialising in developer tools.
Timeline: 4 months (Oct 2024 - Feb 2025).
My Role: Product Designer (Freelance).
Team: Product Manager, Stakeholder, Developer, Product designer
Overview
The client wanted a low-code SaaS platform using AI to simplify enterprise app development for non-technical users and developers. The goal was to enable efficient app creation, customisation, and deployment with features like automation, real-time optimisations, and self-documenting code. The platform needed an intuitive interface, seamless collaboration tools, and responsiveness across devices, targeting entrepreneurs, SMEs, and large organisations.
Solution
Lowlytics is a low-code SaaS platform designed to democratise enterprise application development by leveraging artificial intelligence. The platform empowers non-technical users and developers to create, customize, and deploy business applications efficiently. Key features include AI-driven automation, real-time optimizations, and self-documenting code generation. The goal was to enhance productivity, innovation, and accessibility for a diverse user base.
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The problem we solved
Lowlytics is an AI-assisted enterprise application development platform, but enterprise users (developers, managers, and teams) needed a more transparent, structured, and actionable way to interact with AI-generated documentation.
​The old approach
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Documentation was passive, just generated and left there.
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Developers wanted more control over AI-generated content.
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Product owners needed insights into development efficiency.
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Teams struggled with tracking approvals & contributions.
Our goal
Make AI-driven documentation more useful, interactive, and collaborative.
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Initial sketches
User Research & Competitive Analysis
To inform the design decisions, I conducted informal interviews with developers and product managers. I asked about their pain points with existing solutions and what features they valued most. Additionally, I analysed competitors like Firebase and Datadog to identify industry standards and opportunities for differentiation.
Key insights included:
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Users valued customisability in dashboards but wanted default templates for speed.
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Real-time alerts and error logs were critical for the monitoring tool.
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Clear, searchable documentation saved teams hours of troubleshooting.
User Personas
Non-Technical User
Developer
Pain Points-
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Struggles with complex tools and technical jargon.
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Needs guidance to build apps without coding expertise.
Goals-
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An intuitive, drag-and-drop interface.
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Real-time feedback to validate designs.
Pain Points-
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AI-generated docs feel rigid and inaccurate.
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No quick access to build history or logs.
Goals-
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Control over AI-generated content.
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Editable docs and quick reference tools.
User Flow Design
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Design System
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Iterations
Documentation Page-Iteration 01
"How do we know if the code is actually getting better? I need metrics that show progress, not just activity."
Stakeholder
Project Manager
"Good start, but I need more visibility into progress, not just fixes.''
Documentation Page - Iteration 02
"Team insights are great, but can we track how AI improves the code?"
Stakeholder
Project Manager
""Build times are helpful, but I still need a way to measure code quality.""
Final Design
Outcome
The project was delivered on time, and early feedback has been mixed but promising. Key highlights from the first month include:
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Usability: Non-technical users find the platform intuitive, though onboarding could be smoother.
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Collaboration: Real-time features are helping teams work more efficiently.
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Feedback: AI-driven tools are appreciated, but some users suggest refining recommendations.
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Scalability: The cloud-based design is handling current demands well.
Early Metrics
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​​User engagement is growing steadily.
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Non-technical users report faster project setup times.
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Adoption among target users is progressing well.
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We’re gathering feedback and working on improvements to enhance the user experience.
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