AI Design Sprint Benefits. Accelerating AI Adoption Through Design Thinking and Sprint Approaches

AI Design Sprint Benefits. Accelerating AI Adoption Through Design Thinking and Sprint Approaches

Dorota Owczarek - January 29, 2023

Artificial Intelligence holds vast business potential, offering new and innovative solutions to long-standing problems. However, realizing this potential can be a complex and challenging process, and many AI projects struggle to get off the ground or deliver desired outcomes. The AI Design Sprint is a powerful tool that helps companies uncover AI opportunities and kickstart AI projects. Combining design thinking and sprint process, the AI Design Sprint accelerates AI progress and maximizes project success.

In this article, we will explore the benefits of the AI Design Sprint approach and how it helps companies get on the path to successful AI technologies implementation and integration.

The Basics of Design Sprints for AI Solutions

It’s important to note that classic Design Sprints and AI Design Sprints differ in their approach and focus. A classic Design Sprint focuses on the design and development of a physical product, service path, or digital application. In contrast, an AI Design Sprint focuses specifically on the development of artificial intelligence solutions.

So, before we delve into AI Design sprint methodology, let’s delve into the core principles of Design Sprints.

What is a Design Sprint?

A Design Sprint is a structured process for quickly solving complex problems and validating ideas through prototyping and testing. It’s a five-step process that brings together cross-functional teams to design, prototype, and test new solutions in a condensed timeframe.

The sprint process is designed to bring together cross-functional teams, including stakeholders, product owners, designers, and developers, to collaborate and validate ideas. The sprint process includes the following stages:

  1. Understanding: The team defines the problem and the desired outcome, and gathers information on user needs and goals.
  2. Diverge: The team generates a wide range of ideas and solutions, exploring as many possibilities as possible.
  3. Converge: The team selects the best ideas and begins to develop a solution.
  4. Prototype: The team creates a low-fidelity prototype of the solution.
  5. Test: The team validates the solution by testing it with end-users.

The process is user-centered and involves a series of activities and exercises designed to generate a solution that meets the end-users needs and goals. The Design Sprint methodology is widely used in product development, design, and innovation, and has been adapted for use in various industries, including the development of artificial intelligence projects.

How do Design Sprints for Artificial Intelligence differ from traditional Design Sprints?

Design Sprints for artificial intelligence differ from traditional Design Sprints in several key ways:

  • Focus: AI Design Sprints are focused specifically on the development of artificial intelligence solutions, whereas traditional Design Sprints can focus on a wider range of products or services.
  • Considerations: An AI Design Sprint includes specific activities and considerations related to AI, such as data collection and analysis, AI model selection, and AI ethical considerations.
  • Approach: Design Sprints for AI may also vary in their approach and methodology for the design process, reflecting the unique challenges and opportunities of AI development. Usually it involves using dedicated low-code ML tools to create the prototype of the AI model. Or for example, the testing stage of an AI Design Sprint may require a more specialized approach, such as testing the performance of AI models or interaction with AI systems.
  • Knowledge Sharing: During an AI Design Sprint, AI experts share their know-how on data science, machine learning and other relevant new technologies with all workshop participants, providing a unique opportunity for all team members to gain a deeper understanding of AI technology and its potential applications.
  • Workshop Team Structure: Appart from sprint facitlitator and stakeholders from different departments, AI DS often involves a wider range of team members, including data scientists, data engineers, AI experts, and ethical specialists.

AI workshops canvases and ideation cards to spark hands-on collaboration

AI workshops canvases and ideation cards to spark hands-on collaboration

Despite these differences, both AI Design Sprints and traditional Design Sprints share a common goal of rapidly prototyping and testing ideas to validate and refine solutions. By using a user-centered and collaborative approach, the sprint process helps teams to make informed decisions, prioritize their efforts, and move quickly from idea to project kickstart.

Benefits of AI Design Sprint

AI Design Sprint approach offers a unique approach to developing AI solutions that can drive business success and bring real value to organizations. By focusing on collaboration, human-centric approach, and rapid iteration, these workshops can help companies to overcome common AI project development challenges and unlock new opportunities for growth. Among many, we can list the following benefits:

Uncovering AI Opportunities

AI Design Sprints provide a structured and focused approach to uncovering new opportunities for AI within a business. The sprint process encourages teams to think creatively and holistically about the potential applications of AI, while also considering the constraints and limitations of the technology. By the end of the sprint, teams have a clear understanding of the AI opportunities that exist, identify the most valuable for their organization, and how they can be leveraged to solve big problems and meet business goals.

AI Design Sprint in progress - team mapping business challenges and needs to ideate possible AI solutions

AI Design Sprint in progress - team mapping business challenges and needs to ideate possible AI solutions

Increased Collaboration

AI Design Sprint is highly collaborative in nature, hands on experience that brings together cross-functional teams from different departments and areas of expertise. This approach encourages collaboration, cross-pollination of ideas, and a shared understanding of the AI opportunities and challenges facing the business. The result is a stronger and more cohesive team that is better equipped to tackle the complexities of AI development.

AI Design Sprint in progress - sprint team (with representatives from different departments) working collaboratively to develop common concept

AI Design Sprint in progress - sprint team (with representatives from different departments) working collaboratively to develop common concept

Improved User Experience

AI Design Sprints put the user at the center of the development process, ensuring that the AI solutions being developed are tailored to meet their specific needs and goals. By incorporating user feedback and testing throughout the sprint, teams can validate their ideas and make iterative improvements to the design and functionality of the AI solution. This results in a better user experience and increased customer satisfaction.

Since the user needs are always its core focus, the solutions prototyped with the design thinking mindset have much more chance to fulfill the user-oriented business goals (you can read more about Design Thinking & AI in our article).

Enhanced Problem-Solving Capabilities

AI Design Sprints facilitate teams to think critically and creatively about problem-solving, helping them to find new and innovative solutions to complex AI challenges. The sprint framework also provides a structured approach to testing and validating solutions, reducing the risk of failure and increasing the chances of success.

Early Feedback and Testing

AI Design Sprint workshops are fast paced and encourage early feedback and testing, allowing teams to validate their ideas and make iterative improvements before committing significant resources to development. By incorporating user feedback and testing throughout the sprint, teams can ensure that they are building AI solutions that meet the needs and expectations of users.

AI Design Sprint in progress — mapping the confusion matrix and highlighting potential risks and costs of false positives and negatives

AI Design Sprint in progress — mapping the confusion matrix and highlighting potential risks and costs of false positives and negatives

Better Team Alignment and Focus

Applying a collaborative workshop approach to AI sprints helps to align teams around a common vision and goals, providing a clear understanding with opportunity mapping and highlighting the challenges facing the business. This helps to focus company efforts and resources on the most impactful initiatives, while also ensuring that everyone is working towards a common objective.

AI Design Sprint in progress - sticky notes and canvases ensure space for open communication and team alignment

AI Design Sprint in progress - sticky notes and canvases ensure space for open communication and team alignment

Faster Time to Market

By using a focused and iterative approach, AI Sprints can help teams to rapidly develop and launch AI solutions, reducing the time it takes to bring new products and services to market. The sprint process also helps teams to validate their ideas and make iterative improvements early in the development cycle, reducing the risk of costly rework and delays.

How Does Design Thinking Support AI Design Sprints?

Design thinking is a key aspect and an underlying mindset leading an AI Design Sprint. It supports the process of creating new ideas and bringing innovation within a company. The following sections highlight how design thinking specifically supports AI project development:

Understanding Customer Needs with Empathy-Driven Design

Design thinking starts with understanding the needs and perspectives of customers or users, which is critical in the development of AI solutions. The empathy-driven design encourages companies to take a human-centered approach to problem-solving, which helps to ensure that business requirements meet the needs of the people who will use them.

Iterative Process to Create Prototypes

The iterative process of design thinking allows for rapid iteration and testing of new ideas, which is essential in the development of machine learning projects. ML models can be quite costly to implement, so you need to make sure your approach will bring the expected outcomes. By quickly testing and refining prototypes, companies can bring agility into the process and ensure that the AI solutions they are developing are fit for purpose and provide real value to their customers.

If you’d like to learn more about the benefits of AI agile project management, we recommend reading our article on agile AI practices. It lays out how the idea becomes a complete product in an agile process and outlines the advantages and disadvantages of this popular methodology.

Human-Centered Approach

In the human-centered approach of AI Design Sprints, companies work to create AI solutions that are aligned with the values and needs of their customers, while also taking into account the ethical implications of AI. This includes developing AI solutions that are free from bias, non-discriminatory, and inclusive, and that have a positive impact on society.

Additionally, it is important to ensure that AI solutions are transparent and explainable, and that data privacy is protected.

AI ethics and designing for responsible, human-centered AI

AI ethics and designing for responsible, human-centered AI

By combining the power of design thinking and AI expertise, AI Design Sprints provide a comprehensive approach to developing an AI project that brings real value to organizations.

Transform Your Business with Nexocode’s Proven AI Design Sprint Approach

As businesses continue to adopt artificial intelligence, it’s more important than ever to have a well-thought-out plan and strategy for AI projects. The AI Design Sprint approach offered by nexocode provides a powerful framework for uncovering AI opportunities within a business, and kickstarting AI projects that deliver true value.

With a focus on collaboration, problem-solving, and user-centered design, the AI Design Sprint approach helps companies to accelerate progress and get to market faster with AI solutions that are aligned with user needs and values. Whether you’re just getting started with AI or looking to improve your existing AI projects, our proven AI Design Sprint approach is the perfect solution.

So if you’re ready to transform your business with the power of AI, **book your AI Design Sprint with nexocode today. **With our team of AI experts, you’ll have everything you need to succeed and get on the fast track to AI maturity.

About the author

Dorota Owczarek

Dorota Owczarek

AI Product Lead & Design Thinking Facilitator

Linkedin profile Twitter

With over ten years of professional experience in designing and developing software, Dorota is quick to recognize the best ways to serve users and stakeholders by shaping strategies and ensuring their execution by working closely with engineering and design teams.
She acts as a Product Leader, covering the ongoing AI agile development processes and operationalizing AI throughout the business.

Would you like to discuss AI opportunities in your business?

Let us know and Dorota will arrange a call with our experts.

Dorota Owczarek
Dorota Owczarek
AI Product Lead

Thanks for the message!

We'll do our best to get back to you
as soon as possible.

This article is a part of

Becoming AI Driven
92 articles

Becoming AI Driven

Artificial Intelligence solutions are becoming the next competitive edge for many companies within various industries. How do you know if your company should invest time into emerging tech? How to discover and benefit from AI opportunities? How to run AI projects?

Follow our article series to learn how to get on a path towards AI adoption. Join us as we explore the benefits and challenges that come with AI implementation and guide business leaders in creating AI-based companies.

check it out

Becoming AI Driven

Insights on practical AI applications just one click away

Sign up for our newsletter and don't miss out on the latest insights, trends and innovations from this sector.


Thanks for joining the newsletter

Check your inbox for the confirmation email & enjoy the read!

This site uses cookies for analytical purposes.

Accept Privacy Policy

In the interests of your safety and to implement the principle of lawful, reliable and transparent processing of your personal data when using our services, we developed this document called the Privacy Policy. This document regulates the processing and protection of Users’ personal data in connection with their use of the Website and has been prepared by Nexocode.

To ensure the protection of Users' personal data, Nexocode applies appropriate organizational and technical solutions to prevent privacy breaches. Nexocode implements measures to ensure security at the level which ensures compliance with applicable Polish and European laws such as:

  1. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) (published in the Official Journal of the European Union L 119, p 1); Act of 10 May 2018 on personal data protection (published in the Journal of Laws of 2018, item 1000);
  2. Act of 18 July 2002 on providing services by electronic means;
  3. Telecommunications Law of 16 July 2004.

The Website is secured by the SSL protocol, which provides secure data transmission on the Internet.

1. Definitions

  1. User – a person that uses the Website, i.e. a natural person with full legal capacity, a legal person, or an organizational unit which is not a legal person to which specific provisions grant legal capacity.
  2. Nexocode – NEXOCODE sp. z o.o. with its registered office in Kraków, ul. Wadowicka 7, 30-347 Kraków, entered into the Register of Entrepreneurs of the National Court Register kept by the District Court for Kraków-Śródmieście in Kraków, 11th Commercial Department of the National Court Register, under the KRS number: 0000686992, NIP: 6762533324.
  3. Website – website run by Nexocode, at the URL: whose content is available to authorized persons.
  4. Cookies – small files saved by the server on the User's computer, which the server can read when when the website is accessed from the computer.
  5. SSL protocol – a special standard for transmitting data on the Internet which unlike ordinary methods of data transmission encrypts data transmission.
  6. System log – the information that the User's computer transmits to the server which may contain various data (e.g. the user’s IP number), allowing to determine the approximate location where the connection came from.
  7. IP address – individual number which is usually assigned to every computer connected to the Internet. The IP number can be permanently associated with the computer (static) or assigned to a given connection (dynamic).
  8. GDPR – Regulation 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals regarding the processing of personal data and onthe free transmission of such data, repealing Directive 95/46 / EC (General Data Protection Regulation).
  9. Personal data – information about an identified or identifiable natural person ("data subject"). An identifiable natural person is a person who can be directly or indirectly identified, in particular on the basis of identifiers such as name, identification number, location data, online identifiers or one or more specific factors determining the physical, physiological, genetic, mental, economic, cultural or social identity of a natural person.
  10. Processing – any operations performed on personal data, such as collecting, recording, storing, developing, modifying, sharing, and deleting, especially when performed in IT systems.

2. Cookies

The Website is secured by the SSL protocol, which provides secure data transmission on the Internet. The Website, in accordance with art. 173 of the Telecommunications Act of 16 July 2004 of the Republic of Poland, uses Cookies, i.e. data, in particular text files, stored on the User's end device.
Cookies are used to:

  1. improve user experience and facilitate navigation on the site;
  2. help to identify returning Users who access the website using the device on which Cookies were saved;
  3. creating statistics which help to understand how the Users use websites, which allows to improve their structure and content;
  4. adjusting the content of the Website pages to specific User’s preferences and optimizing the websites website experience to the each User's individual needs.

Cookies usually contain the name of the website from which they originate, their storage time on the end device and a unique number. On our Website, we use the following types of Cookies:

  • "Session" – cookie files stored on the User's end device until the Uses logs out, leaves the website or turns off the web browser;
  • "Persistent" – cookie files stored on the User's end device for the time specified in the Cookie file parameters or until they are deleted by the User;
  • "Performance" – cookies used specifically for gathering data on how visitors use a website to measure the performance of a website;
  • "Strictly necessary" – essential for browsing the website and using its features, such as accessing secure areas of the site;
  • "Functional" – cookies enabling remembering the settings selected by the User and personalizing the User interface;
  • "First-party" – cookies stored by the Website;
  • "Third-party" – cookies derived from a website other than the Website;
  • "Facebook cookies" – You should read Facebook cookies policy:
  • "Other Google cookies" – Refer to Google cookie policy:

3. How System Logs work on the Website

User's activity on the Website, including the User’s Personal Data, is recorded in System Logs. The information collected in the Logs is processed primarily for purposes related to the provision of services, i.e. for the purposes of:

  • analytics – to improve the quality of services provided by us as part of the Website and adapt its functionalities to the needs of the Users. The legal basis for processing in this case is the legitimate interest of Nexocode consisting in analyzing Users' activities and their preferences;
  • fraud detection, identification and countering threats to stability and correct operation of the Website.

4. Cookie mechanism on the Website

Our site uses basic cookies that facilitate the use of its resources. Cookies contain useful information and are stored on the User's computer – our server can read them when connecting to this computer again. Most web browsers allow cookies to be stored on the User's end device by default. Each User can change their Cookie settings in the web browser settings menu: Google ChromeOpen the menu (click the three-dot icon in the upper right corner), Settings > Advanced. In the "Privacy and security" section, click the Content Settings button. In the "Cookies and site date" section you can change the following Cookie settings:

  • Deleting cookies,
  • Blocking cookies by default,
  • Default permission for cookies,
  • Saving Cookies and website data by default and clearing them when the browser is closed,
  • Specifying exceptions for Cookies for specific websites or domains

Internet Explorer 6.0 and 7.0
From the browser menu (upper right corner): Tools > Internet Options > Privacy, click the Sites button. Use the slider to set the desired level, confirm the change with the OK button.

Mozilla Firefox
browser menu: Tools > Options > Privacy and security. Activate the “Custom” field. From there, you can check a relevant field to decide whether or not to accept cookies.

Open the browser’s settings menu: Go to the Advanced section > Site Settings > Cookies and site data. From there, adjust the setting: Allow sites to save and read cookie data

In the Safari drop-down menu, select Preferences and click the Security icon.From there, select the desired security level in the "Accept cookies" area.

Disabling Cookies in your browser does not deprive you of access to the resources of the Website. Web browsers, by default, allow storing Cookies on the User's end device. Website Users can freely adjust cookie settings. The web browser allows you to delete cookies. It is also possible to automatically block cookies. Detailed information on this subject is provided in the help or documentation of the specific web browser used by the User. The User can decide not to receive Cookies by changing browser settings. However, disabling Cookies necessary for authentication, security or remembering User preferences may impact user experience, or even make the Website unusable.

5. Additional information

External links may be placed on the Website enabling Users to directly reach other website. Also, while using the Website, cookies may also be placed on the User’s device from other entities, in particular from third parties such as Google, in order to enable the use the functionalities of the Website integrated with these third parties. Each of such providers sets out the rules for the use of cookies in their privacy policy, so for security reasons we recommend that you read the privacy policy document before using these pages. We reserve the right to change this privacy policy at any time by publishing an updated version on our Website. After making the change, the privacy policy will be published on the page with a new date. For more information on the conditions of providing services, in particular the rules of using the Website, contracting, as well as the conditions of accessing content and using the Website, please refer to the the Website’s Terms and Conditions.

Nexocode Team


Want to unlock the full potential of Artificial Intelligence technology?

Download our ebook and learn how to drive AI adoption in your business.