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7 AI Tools Product Designers Need To Know

 1 year ago
source link: https://uxplanet.org/7-ai-tools-product-designers-need-to-know-189f6b8c25f6
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7 AI Tools Product Designers Need To Know

Every product (UX) designer should leverage these AI tools in their design process

Published in
6 min read2 hours ago
A banner that says “AI Tools for Product Designers” overlayed on top of a background featuring AI tool logos.

Will AI tools replace design jobs?

While the next technological revolution is happening before our eyes, AI tools aren’t here to steal your job or replace your creative genius.

They’re here to be your trusted sidekicks, empowering you to do what you do best — designing breathtaking experiences. Those who resist the AI wave and stick to old-school methods may find themselves left behind in a rapidly evolving industry.

So, why should you care about incorporating AI tools into your workflow? Simple. These tools act as catalysts, helping you generate innovative ideas, streamline repetitive tasks, and unlock new possibilities that were once beyond reach.

It’s not about replacing your skills; it’s about enhancing them with the superpowers that AI tools offer.

By harnessing the capabilities of AI, you can push the boundaries of what’s possible and deliver exceptional results that leave clients, stakeholders, and users in awe.

Here are 7 different AI tools you should consider trying and adding to your product design workflow.

1. Emotion AI (Affectiva)

Affectiva’s Emotion AI is an advanced technology that leverages facial analysis and emotion recognition to understand user emotional responses. It plays a significant role in enhancing UX design by providing valuable insights into how users emotionally engage with products, interfaces, and experiences.

A screenshot of Emotion AI detecting emotions from four people’s faces.

Emotion Recognition

Emotion AI is equipped with machine learning models that can accurately recognize and classify a range of emotions displayed on a user’s face. It can identify emotions like happiness, sadness, anger, surprise, disgust, fear, and more. This enables designers and researchers to gain deeper insights into how users respond emotionally to different design elements or experiences.

Emotion Intensity and Valence

In addition to recognizing basic emotions, Emotion AI can also assess the intensity and valence of emotions. It provides information on the strength or magnitude of emotion, as well as whether it is positive, negative, or neutral. This helps designers understand the impact of their designs on users’ emotional experiences.

2. Gemma

Gemma is a creative AI sidekick that enables designers to generate new ideas, optimize existing designs, and automate tedious tasks. It is designed to learn from your ideas and creative inputs, providing designers with personalized suggestions and fresh perspectives.

A screenshot of Gemma, a conversational assistant that provides recommendations and assets throughout the design process. Beside it is a wireframe of a website.

AI model integrations

Gemma provides an intuitive interface for designers that connects them with numerous AI models, such as ChatGPT, DALL-E 2, and Remove Background, to help improve their workflow efficiency. Gemma intuitively understands your needs and is able to leverage the appropriate AI models for each task.

Collaborative design assistant

Gemma learns from your creative ideas and provides designers with AI-generated recommendations throughout the design process. Diminish the time it takes to create UX deliverables by using Gemma for brainstorming, editing copy, or generating stunning visuals.

3. A/B Tasty

A/B Tasty is an AI-driven experimentation platform that empowers UX designers to run A/B tests and optimize user experiences. It provides a range of features and AI capabilities that enhance the testing and optimization process.

A screenshot of A/B Tasty’s “Define allocation” feature.

Dynamic Traffic Allocation

A/B Tasty incorporates AI algorithms to automatically optimize the user experience based on ongoing test results. The platform continuously monitors user interactions and preferences, learning from the data collected during A/B tests. It dynamically adjusts the traffic distribution to favor the winning variations, maximizing the performance of the tested elements without manual intervention.

Insights and Reporting

A/B Tasty provides detailed insights and reports on test results, allowing designers to evaluate the impact of design changes on key metrics. The platform’s AI-driven analytics deliver actionable insights, highlighting the significance of test results and identifying areas of improvement. This enables designers to make data-driven decisions and continuously optimize the user experience.

4. Slickplan

Slickplan is an AI-powered sitemap generator and information architecture tool designed to help UX designers and website developers visualize and organize website structures. It offers a range of features that simplify the process of creating sitemaps and information architectures.

A screenshot of Slickplan’s tool as a user edits a sitemap while collaborating with other users.

AI-Powered Sitemap Generation

Slickplan employs AI algorithms to automatically generate sitemaps based on the provided content or website URL. This AI-powered feature saves time and effort by quickly creating a visual representation of the website structure.

Site Crawler and Audit

Slickplan includes a site crawler that can scan websites to analyze and collect information about page structure, URLs, and metadata. This feature helps in conducting site audits and identifying potential issues or areas for improvement in the website’s architecture.

5. SketchAR

SketchAR is an AI-powered augmented reality tool that assists designers in creating accurate sketches and illustrations. It leverages the capabilities of augmented reality and artificial intelligence to provide a range of features that enhance the sketching process.

An image with three frames, the first one is a digital drawing colored in of a black personwearing a pink shirt. The second frame is an initial low-fidelity sketch of the same drawing. The third frame is a mid-fidelity sketch of the same drawing.

Augmented Reality Sketching

SketchAR uses the camera of a mobile device or tablet to overlay virtual elements onto the real world. Designers can sketch directly on paper or any other surface while seeing virtual guidelines, reference images, or 3D models superimposed on their view. This feature helps designers align their sketches accurately and maintain proportion and perspective.

Guided Drawing

SketchAR offers guided drawing tutorials that provide step-by-step instructions for creating complex sketches and illustrations. The AI algorithms analyze the reference image or 3D model and generate virtual guidelines that assist designers in recreating the artwork. This feature is especially beneficial for beginners or those looking to learn new drawing techniques.

6. Xtensio

Xtensio is an AI-enhanced platform designed for creating user personas, journey maps, and other UX design deliverables. It offers a range of features that facilitate the creation, collaboration, and customization of these essential design assets.

A screenshot of Xtensio’s User Persona template.

User Persona and Journey Map Creation

Xtensio provides a user-friendly interface for creating detailed user personas and journey maps, in addition to other UX deliverables. Designers can define user attributes such as demographics, goals, motivations, and pain points. They can also visualize the user experience across different touchpoints and stages of interaction with a product or service.

AI-Enhanced Insights

Xtensio’s AI capabilities analyze user persona and journey map data to provide actionable insights. The platform automatically identifies patterns, trends, and correlations within the data, helping designers uncover valuable insights and make informed design decisions. This AI-enhanced analysis adds depth and clarity to the understanding of user needs and behaviors.

7. Voiceflow

Voiceflow is a powerful platform that enables designers and developers to create voice-based applications and conversational experiences. It offers a wide range of features that simplify the process of designing, prototyping, and deploying voice applications.

A screenshot of Voiceflow’s conversation assistant tool.

Natural Language Understanding (NLU)

Voiceflow integrates with popular NLU platforms, such as Dialogflow or Alexa NLU, to process user input and extract intent and entities. This AI-driven NLU capability allows voice applications to understand and interpret user commands and queries accurately.

Contextual Variables and Logic

Voiceflow enables designers to create and manage contextual variables within the conversation flows. These variables store information from user interactions, session data, or external sources, and can be used to create personalized and dynamic voice experiences. The AI capabilities of Voiceflow allow for context-based decision-making and intelligent responses.


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