About this Project
The objective is to develop a landing page for RagMetrics that effectively communicates the company’s mission and core values. This page should be designed to capture users' attention within a few seconds, clearly outlining what we do and the top benefits we offer, ensuring visitors quickly grasp the value of our services and encouraging them to explore further.
Challenges
Unorganized and Cluttered Website Content
The website's content was not structured or optimized, leading to poor representation of the company's services.
Inability to Drive Traffic for Appointments and Podcasts
The current website and marketing strategies were failing to attract traffic for scheduling appointments and increasing podcast listeners.
Unorganized and Cluttered Website Content
The website's content was not structured or optimized, leading to poor representation of the company's services.
Design process
We have a procedure we follow through
01
Brainstorming
session
Discussed reference and
ideas.
02
Research
Analyzed the old website
to identify areas of
improvement.
03
Ideation & Design
Developed 2 website
iteration.
04
Review
Gathered client feedback
to finalize the design.
05
Final Test
Launched the final
website.
Design Implementation
Enhanced Hero Section
Communicating the company's core value proposition in simple terms.We collaborated closely with the founders to understand RagMetrics' product.Together, we came up with a clear message that effectively communicates how RagMetrics leverages its product to compare different LLM (Large Language Model) models based on various use cases.
Highlighted Team Experience
Establishing credibility by showcasing the expertise of the team.We emphasized the founders' collective 50+ years of experience in building Gen AI products, highlighting their expertise and the reliability of RagMetrics’ offerings.
Top Values We Provide to Users
Ensuring users understand the unique benefits and solutions offered by RagMetrics.Complemented the existing features with clear benefits to help users prove ROI by defining and measuring KPIs, optimizing language model selection with informed tradeoffs, and accelerating deployment through automated evaluation.
