Semiflat

Failing to implement thoughtful user experience patterns in your AI-based product is hurting your business. Some of the negative consequences include: 😭 Poor engagement - Poor user experience results in low engagement. Having to constantly fix product issues, or address user complaints slows your company down and dilutes your focus. 🔁 High churn - Failing to demonstrate the product’s value on first interaction or exposing users to high-friction experiences increases the churn and makes it difficult for your company to grow. 🪫 Low satisfaction - Neglecting user experience (especially in products leveraging a novel technology) leads to friction and overall low user satisfaction, increasing the support costs and risk of negative word of mouth. 🙈 Missed opportunities - Selling poorly designed software is harder. Products that correctly address user pains and are enjoyable to interact with drive more revenue and upsell opportunities. The article linked below explains how we’ve designed Seam AI (link) to avoid these negative consequences:

Ever wondered how a design agency can boost a product launch? 🚀 Discover how we partnered with Seam AI's CEO to create high-impact content that propelled their launch strategy to new heights. Read more on our blog:

At Semiflat, we design AI-driven tools and prioritize building user trust and education. Here are the key principles we always follow in our process: 🔍 Transparency: Clearly distinguish AI features from regular ones to manage user expectations. 💬 Continuous Feedback: Enable users to provide feedback on AI responses to facilitate continuous improvement. 🤖 Explainability: Ensure users can verify the steps and logic behind AI decisions. 👾 User Control: Assure users they remain in control, with AI never making decisions that could have negative consequences. By following these principles, we create trustworthy, user-centric AI products.

Interacting with AI through chat interfaces blurs the line between human and machine. For example, it’s common for users to use phrases like “please” and “thank you” instinctively when interacting with Large Language Models. This human-like interaction has serious business implications. Ensure your AI’s value and limitations are clear to the end user to foster trust and engagement, preventing frustration and abandonment.

With AI making strides in data analysis and decision-making, the role of product designers is evolving. Our mission is to build trust between users and machines by clearly conveying the software’s value, capabilities, and limitations. This approach fosters long-term user relationships and ensures consistent engagement.

Our design work has enabled Seam AI to attract more users and convert prospects more easily with an appealing, usable interface. The benefits are twofold. On one hand, a higher-quality user experience enables Seam to drive revenue by retaining and upselling more of its existing customers. On the other hand, selling to new customers is easier because people are naturally inclined to want to try products that are visually appealing. If you’d like to learn more about the business benefits Seam now enjoys thanks to our collaboration, read the case study liked in the comments. You can also watch a video where our founder Nic Jablonski talks to Nicholas Scavone from Seam about the business value of design (linked below).

Building trust in AI is crucial. Learn how we designed Seam AI's interface to bridge the gap between humans and machines, ensuring transparency and reliability in every interaction. Read more on our blog:

Fast-growing businesses rely on access to their product and customer data in everyday decision-making. As companies scale aggressively they add more and more tools to their data stack resulting in users who are not data analysts, or engineers being effectively cut off from access. Seam is an Large Language Model SaaS that democratizes access to the Modern Data Stack. It allows business users to run complex data operations from an easy-to use chat-based interface. Thanks to Seam AI people on revenue operations, marketing and sales teams are able to save time, and get to the insights they need without relying on help from technical users.

As technology evolves and becomes more intelligent, the approach to designing digital products needs to change. At Semiflat, we’re shaping products by leveraging the newest tech on a daily basis. In this video, our founder Nic shares his insights and best practices for designing AI-based software. #ProductDesign #ArtificialIntelligence #SaaS #Video

Designing for diverse needs isn’t easy, but we made it happen with Seam AI. Dive into our process of building an interface that’s intuitive for business users yet robust for technical experts. Read more on our blog: