Rethinking Design Thinking In Hybrid Workplaces

Design thinking is an experience-based and user-centric method for solving problems. This human-centered approach engages end-users and employees in a multi-step, ongoing process of co-creation, to understand and meet evolving needs. The method is traditionally carried out in physical spaces where participants can collaborate face-to- face.

However, with the shift toward remote work, the traditional design thinking process is undergoing significant changes. As more employees work remotely—22% of the U.S. workforce by 2025, according to an Upwork study—design thinking must adapt to digital environments.

A recent study not only highlights the potential challenges of virtual design thinking but also reveals new opportunities for blending offline and virtual elements, leveraging the best of both the physical and digital worlds.

Unlocking Design Thinking Through a Hybrid Approach

“We suggest that managers should not regard physical and virtual formats as mutually exclusive. Instead, we propose a hybrid approach that leverages the benefits of both worlds, combining physical and virtual elements across the design thinking project”, explains Alice Minet, project head and lead author of the study.

Guided by this hybrid approach, physical settings are particularly effective for tasks that require creative, divergent thinking—i.e. during the empathize phase—where design thinkers aim to develop a deep understanding of users’ latent needs.

Conversely, virtual settings activate a more goal-oriented mindset which is beneficial for rational, convergent tasks—i.e. the define phase—where design thinkers synthesize the gathered data and define the problem space. In the prototype phase, virtual prototyping may allow for more efficeitn development across multiple iterations.

The shift from physical to virtual design thinking represents an opportunity to rethink the innovation process. Importantly, the future of design thinking lies not in choosing between physical and virtual settings but in integrating the best of both worlds to unlock its full potential and create innovative solutions.

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Design thinking in the age of artificial intelligence

The origins of design thinking

Brainstorming was invented in the 50s, and in the 60s a design training program was created at Stanford. A landmark book, "Design Thinking", published by MIT Press, was written by Peter Rowe. Design thinking is a project creation method developed at Stanford University in the USA in the 1980s by Rolf Faste. In 1991, Idéo popularized its methods, which focus on the customer experience, and the method was widely adopted.

In addition to technological solutions, the aim is to explore the user experience. Today, the term Ux Design is used to describe user experience design. The approach is based on two key principles.

The first principle is that of an iterative process, i.e. you can return to previous stages if the current one is inconclusive. This distinguishes design thinking from a linear project process.

The second principle lies in the cooperative operation of diverse, multi-disciplinary teams of different ages and experience at each stage. It should also be noted that design thinking is a process that places people at the heart of experimentation with new solutions, with a logic of rapid, methodical prototyping.

The 5 key stages of the design thinking method

The design thinking process is led by a "facilitator" or designer, who remains neutral and does not seek to influence participants.

Step 1 - Use empathy
In the manner of an anthropologist, this involves defining the target audience and obtaining a clear vision of the problems encountered by users and what they need. It's about understanding their context, what they say they think and feel. Surveys and contextual immersion are the best solution, but it's also possible to fill in an "Empathy Map", organize a survey, lead a focus group or conduct a user test, meet users in the street, or create personas that embody users.

Step 2 - Diagnosis
In this stage, the aim is to understand the nature of the challenge, the points of friction and the problems faced by users, for example, by establishing a "user journey" or experience map, or based on critical incidents. The aim is to identify what is minimum, what is normal and what would be a real break in the service provided.

Step 3 - Build the concept
Create the concept that will deliver the solution using a diverse team to generate a wealth of ideas, based on 3 stages

-Ice-breaking games within the group, to express personal feelings.

-Brainstorming to stimulate creativity (here 20 methods). During this stage, it's possible to propose new constraints or change the rules along the way, to get the group out of its routine,

-The selection of the best viable, feasible ideas according to the criteria and constraints set out in the diagnosis.

Step 4 - Prototyping
The prototyping stage consists of moving as quickly as possible towards the materialization of a solution, and expressing it in creative form using a drawing (poster, metaphor, figurative drawing, plan), in the form of a cut-out, a digital model, an assembly for example, or even in the form of a video and its more or less complex storyline ranging from a hero's journey to a novel-like composition.

The prototype can also be a role-playing game or a theatrical stage on which to play out the imagined solutions. Whatever its form, the prototype aims for simplicity and rapidity. It needs to be usable quickly enough to be understood by users and to benefit from their feedback. It doesn't need to be aesthetic or functional at this stage. Its function is to suggest the solution in preparation

Step 5 Testing
The testing stage consists of exposing the prototypes to users to understand what they think, feel and are motivated by. If the design thinking session takes place with several teams, a pre-test crossing the opinions of the teams is possible. It's also possible to address a prototype to a mass of online users and circulate it to receive a variety of opinions in rapid iteration. This is known as crowdtesting. This solution is particularly well-suited to software or any other digital solution.

Finally, in the testing stage, AI can be used to collect and analyze user feedback in an automated way. Chatbots and semantic analysis systems enable a deeper understanding of user reactions, but again, AI cannot always interpret human emotions with the same precision as a human being.

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Design Thinking Fosters Social Innovation

Design Thinking could be variedly conceived as a methodology, strategy, idea or a worldview, that is essentially customer-centric in its scope and applications. On a granular level, it is borrowing the “eyes of a designer”, to “see the end user”, while developing products and services, tools and equipments and designing systems and processes. Design Thinking is iterative and non-linear in its development cycle, where feedback loops involving target users interactions and engagements are guaged using prototypes, that facilitates fine-tuning and refinement of the product, service or process, prior to commercialization.

In cut-throat businessworld, such adaptive design and development cycles, not only enhance product/service market fit and faster adoption by the target segment, but also significantly improves business agility to churn out products, services and cyber-physical systems at a faster pace, commensurate with short technology obsolescence, evolving customers needs and market dynamics.

Design Thinking hinges on three interdependent variables, firstly, the desirability of the product or service, secondly, the technical feasibility of the solution and lastly its economic viability. Practitioners have added sustainability as another variable, in consonance with a global campaign for the promotion and use of ecologically and environmentally sustainable products, which could be construed as a subset of desirability. Since Design Thinking is dynamic, agile and iterative and thereby non-linear, it accomodates wild ideas, their tinkering and testing and holds immense possibility of turning ambiguity into opportunity. Design Thinking passes through different sequential phases, from the initial discovery phase to define, develop and delivery of the solution. The dicovery and define phases constitute the problem space, whereas the develop and delivery phases are the solution space. When a problem moves from the discovery phase, it allows for brainstorming of a wide variety of ideas and solutions in the define phase, covering the broad spectrum of creativity and pragmatism. Divergent thinking is the norm for creating choices before convergent thinking of making choices. American scientist and two-time Nobel Laureate Linus Pauling, averred, “To get a good idea, you need a lot of ideas.”

In a world buffeted by pernicious storms of climate change, environmental degradation, and onslaught of rapid technological advances, it is imperative that Design Thinking discipline must transition from customer-centric to human-centric to humanity-centered design paradigms. The clarion call for a circular economy is vociferous than ever before, considering the kind of environmental legacy, we intend to bequeath to our posterity. Sustainability should be at the core of every economic and non-economic activity, prioritizing the preservation of the planet, the only place humanity can call it home. Design Thinking with empathy as one of its first principles, could not only foster social innovation at scale, but also serve as a powerful enabler of social and environmental change.

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Can You Combine Design Thinking with DevOps in Software Engineering?

As we enter 2024, the dynamics of product management are shifting towards a blend of technological savvy, user-centric design thinking, and strategic agility. This article delves into the 15 essential product management skills that significantly affect how products are conceived, developed, and launched in today's market. These skills form the backbone of effective product management, from strategic thinking that aligns product development with long-term business goals to data-driven decision-making that ensures informed and impactful choices. Additionally, soft skills like leadership, communication, and stakeholder management have become indispensable in navigating the complex cross-functional landscapes typical of modern organizations.

Importance of Developing Strong Product Management Skills
Developing strong product management skills is crucial in today's fast-paced and competitive business environment. Product management encompasses a broad range of responsibilities that bridge the gap between the development team, stakeholders, and the market. The importance of these skills can be broken down into several key areas:

1-Understanding Market Needs
Customer Insight: Product managers with strong research and analytical skills can better understand customer needs and market demands.
Competitive Analysis: A deep understanding of the competitive landscape helps product managers position their products effectively, identify gaps in the market, and exploit opportunities for differentiation.
2-Strategic Vision and Decision Making
Product Strategy: Effective product management involves setting clear goals and developing a strategic vision for the product.
Prioritization: With often limited resources and time, the ability to prioritize tasks based on their potential impact on the market and alignment with business objectives is crucial.
3-Cross-Functional Leadership and Communication
Team Coordination: Product managers must work closely with diverse teams, including development, marketing, sales, and customer support.
Stakeholder Management: It is vital to manage expectations and communicate effectively with stakeholders, including investors, executives, and customers.
4-Execution and Problem-Solving
Agile Methodologies: Familiarity with agile development practices allows product managers to adapt to changes quickly, make iterative improvements based on feedback, and efficiently manage the product development process.
Risk Management: Identifying potential risks and obstacles early and planning to address them is crucial for minimizing disruptions to the product development timeline and ensuring the product's successful launch.
5-Customer-Centric Approach
User Experience (UX): A strong focus on UX ensures that the product is not only functional but also intuitive and enjoyable to use.
Feedback Loop: Establishing a continuous feedback loop with users helps make data-driven decisions, improve the product over time, and stay responsive to customer needs and market trends.

Qualifications Needed to Become a Product Manager
Becoming a product manager (PM) involves a blend of formal education, practical experience, and key skills that allow an individual to excel in managing products from conception to launch and beyond.

Formal Education
Bachelor’s Degree: Degrees in business, computer science, engineering, marketing, or related fields can provide a solid foundation.
Master’s Degree: An MBA or a master's degree in a relevant field can be advantageous, especially for advancement into higher management roles.
Practical Experience
Industry Knowledge: It is crucial to understand the industry in which you wish to work (e.g., tech, healthcare, finance). This can be gained through work experience, internships, or personal projects.
Cross-functional Experience: Experience in roles that interact with multiple facets of a business (such as sales, marketing, engineering, or customer service) can be incredibly valuable.
Product Management Experience: Direct experience as a product manager or in a product management-related role (e.g., product owner, project manager) can be essential.
Skills and Competencies
Technical Skills: While not always mandatory, technical skills or understanding of the technology relevant to the product can be extremely beneficial, especially in the tech industry.
Business Acumen: A strong grasp of business fundamentals, market analysis, and strategy is crucial for making decisions that align with the company's goals.
Communication and Leadership: Excellent verbal and written communication skills, along with leadership qualities, are essential for leading teams, negotiating with stakeholders, and advocating for your product.
Critical Thinking: The ability to analyze problems, think critically, and devise effective solutions is key in the role of a PM.
Customer-focused: Understanding customer needs and translating them into product features is fundamental. This often requires strong research and analytical skills.
Agility and Adaptability: The product landscape can change rapidly, so it is vital to be able to adapt and manage change.
Certifications and Continuous Learning
Product Management Certifications: Certifications such as Professional Certification In Product Management, Product Management Professional Program, or Scrum Product Owner certification can enhance a resume.
Continuous Learning: Engaging in continuous learning through workshops, seminars, online courses, and industry conferences can keep a PM's skills sharp and relevant.
Networking and Personal Branding
Networking within professional communities and building a personal brand can also be instrumental in launching and advancing a career in product management.

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Can You Combine Design Thinking with DevOps in Software Engineering?

Design thinking, known as a human-centered approach, involves solving complex problems by understanding users, defining their needs, ideating creative solutions, prototyping and testing them, and iterating the process until an optimal outcome is achieved.
On the other hand, DevOps is a methodology that intertwines software development and operations teams and paves the way for delivering software products and services with increased speed, efficiency, and cost-effectiveness.
What happens when the two meet? Can they be a force multiplier in software engineering? That is our question for the day.
Design Thinking and DevOps: Origins and Evolution
Both design thinking and DevOps have emerged as central methodologies, enhancing user-centricity, promoting agility, and driving innovation in software development and delivery.
DevOps traces its roots to software engineering, system administration, and quality assurance, expanding its influence across Web development, cloud computing, and data science.
Design thinking originates in design, engineering, and psychology, with applications spanning product development, service design, social innovation, and education.
Where they cross over as disciplines include user focus, collaboration, experimentation, feedback, and iteration.
How Design Thinking and DevOps Work Together
Integrating design thinking into DevOps necessitates a nuanced understanding of their respective steps and tools and an approach that employs the strengths of both methodologies.
The “empathize, define, ideate, prototype, and test” phases of design thinking align with DevOps’s “plan, code, build, and run” stages, forming a cycle that supplements the software development lifecycle.
Design thinking tools and techniques include interviews, surveys, observations, personas, journey maps, brainstorming, sketching, and usability testing, which guide the exploration of user needs and the creativity of creative solutions.
Simultaneously, DevOps tools and techniques, such as version control, code review, continuous integration, continuous delivery, configuration management, containerization, and cloud computing, create an integrated pipeline accommodating iterative design processes within a continuous delivery framework.
Moreover, integrating design thinking and DevOps extends beyond merely synchronizing processes and tools; it cultivates a collaborative mindset within cross-functional teams.
Best Practices and Tips
To ensure an effective implementation of design thinking and DevOps, the following best practices and tips can be a help:
-Align the goals and perspectives of the design, development, and operations teams to ensure a shared vision and understanding of user needs, the solution, and the value proposition.
-Involve users and stakeholders throughout the process, soliciting and incorporating their feedback and suggestions, validating assumptions and hypotheses, and adopting a culture of co-creation and co-innovation.
-Embrace a culture of experimentation and learning from failures. Test ideas and prototypes early and often, iterate, and improve solutions based on feedback and data.
-Automate and optimize the process, employing appropriate tools and techniques to enhance the software delivery lifecycle. Reduce manual and repetitive tasks to increase the speed and quality of the software product or service.
Challenges and Solutions
The integration of design thinking and DevOps brings some challenges as well. However, these challenges can be effectively addressed.
Resistance to change is challenging as team members, accustomed to traditional methodologies, show reluctance and skepticism toward integrating design thinking and DevOps. Proactively communicating benefits, comprehensive training, and celebrating successes are essential to address this.
The diverse skillset requirements of design thinking and DevOps present another challenge. Integrating individuals with varying expertise and backgrounds can lead to disparities in understanding and collaboration.
The Bottom Line
The convergence of design thinking and DevOps can be a valuable tool in the right company, creating an integrated approach that can result in impactful outcomes, increased user satisfaction, expedited time-to-market, and better collaboration.
It may need experts and advocates in both disciplines, and challenges can include resistance to change, but when it works well, you open the door to creativity and innovation, and you can really unlock the power of your workforce.

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