Qollate AI connects the contact center platform to a conversational AI engine. Built from a warehouse of pre-built industry specific virtual agents. Creates actionable insights to assist agent and improve productivity. Improves virtual agent performance & reduces fallback by intent optimization. Integrates with end points using low code / no code workflows.
Problem Statement
Bold Design Approach: Qollate should refine its messaging to clearly articulate its unique value and benefits, using case studies and customer success stories.
Interactive Elements and Engagement: Should introduce more interactive elements like demos, calculators, and visualizations to enhance user engagement.
Design Challenge
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How might we build a strong design system that showcase clear categorisation and easy access to resources and solutions in a single click.
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Clear content but could better highlight unique value propositions.
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Showcasing professional, informative content with a focus on data and analytics solutions.
Initial Research
Objective: Engage with the stakeholders to discuss their experiences and expectations.
Outcome: Collective feedback on website features and design preferences, uncovering common themes and suggestions.
Competitive Analysis:
Objective: Examined the websites of leading analytics companies (e.g., Tableau, Alteryx, SAS).
Outcome: Identified best practices, innovative features, and areas where competitors excel.
Results:
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A website that effectively communicates the unique value propositions of Qollate, strengthening its market position.
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Improved CTAs and user pathways that lead to higher conversion rates for key actions such as contact requests and demo sign-ups.
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Introduction of new features and functionalities that have been proven successful in the industry, improving overall user experience.
