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Adam Fard
Your UX & AI Studio for B2B SaaS Products

Adam Fard
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Home: https://adamfard.com

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What is Adam Fard?

Adam Fard addresses common product challenges such as low activation, poor retention, and high churn by focusing on creating exceptional product experiences. Their approach involves boosting the perceived value of products, thoroughly revamping the user experience based on in-depth user research, fostering UX maturity within client organizations, and rigorously validating product ideas before full-scale development. They aim to design products that effectively market themselves, providing a solid foundation before clients invest heavily in marketing or team expansion.

The studio offers a range of specialized services tailored to different client needs, including UX & Tech Audits, flexible Design & Development Retainers (DesignStream), Fixed-Price Projects for complex product overhauls, and comprehensive MVP Sprint & Build services to take ideas from concept to market-ready products. A significant focus is placed on AI Development, encompassing custom Large Language Model (LLM) development and fine-tuning, AI agent creation, prompt engineering and optimization, AI system architecture design, and seamless integration with existing systems. Adam Fard primarily serves clients in the Fintech, AI, SaaS, and Edtech sectors.

Features

  • UX & Tech Audit: Comprehensive analysis of UX and technical implementation to uncover usability issues and optimize code quality.
  • Design & DevStream Subscription: Unlimited design & development tasks with dedicated professionals and fast turnaround times.
  • Fixed-Price Projects: Tailored solutions for revamping complex products with clear scope and guaranteed delivery.
  • MVP Sprint & Build: End-to-end service from idea validation and research to design, development, and launch.
  • AI Development: Custom AI solutions including LLM development & fine-tuning, AI agent development, prompt engineering, and system integration.
  • Customer Research: In-depth user research methodologies to inform and validate product design decisions.

Use Cases

  • Improving SaaS product activation and retention rates.
  • Developing AI-powered features for financial applications.
  • Building Minimum Viable Products (MVPs) for startups.
  • Revamping user experience for existing enterprise software.
  • Creating custom AI agents for business automation.
  • Designing user-friendly interfaces for complex AI platforms.
  • Scaling EdTech platforms with improved usability.

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