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Accessibility in Design
The Why
Imagine stepping into a vast library, but all the books are on the top shelf, out of reach. That’s the web for many users without accessible design. Accessibility in digital design isn’t just about building a ramp; it’s about making sure everyone can access all the books, no matter which shelf they’re on. It’s about crafting experiences that include everyone, whether they’re navigating by touch, using a screen reader to convert text to speech, or requiring subtitles to catch every word of a video.
Now, why should you, as a designer, developer, business analyst, or business owner, care? Well, first off, it’s the right thing to do—plain and simple. Creating accessible digital spaces ensures that no one is excluded because of a disability, which is a strong ethical stance.Then there’s the undeniable business case. By embracing accessibility, you’re opening your virtual doors to millions more potential users and customers. Studies have shown that accessible websites have better search results, reach a bigger audience, and incur lower maintenance costs.
So, whether it’s the satisfaction of doing good, staying on the right side of the law, or the smart business move, the incentives are aligned—accessible design is non-negotiable.
Types of Disabilities and Inclusive Design
Imagine a spectrum of abilities, each with unique requirements:
- Visual disabilities, ranging from colour blindness to total blindness, may necessitate screen readers or high-contrast visuals.
- Hearing disabilities call for captions and transcripts for audio content.
- Motor disabilities, where a traditional mouse and keyboard setup isn’t feasible, require designs that are navigable through voice commands or adaptive hardware.
- Cognitive disabilities, often overlooked, ask for clear, consistent, and predictable interactions.
Inclusive product design means considering this entire spectrum and ensuring that everyone can access the same services, enjoy the same experiences, and receive the same information. It’s about not just giving them a seat but ensuring they can enjoy the show in its entirety.
The POUR Principles of Accessible Design
Luckily, with careful consideration, products that transform an entire business can be built. The POUR principles serve like a compass, pointing us towards a more accessible digital world.
- Perceivable: Information must be presented in ways that users can discern, regardless of sensory abilities. This could mean providing text alternatives for images or ensuring content can be enlarged without losing information.
- Operable: Users should be able to navigate and use interfaces via various methods. This includes making all functionality available from a keyboard for those who can’t use a mouse.
- Understandable: Here, we aim for clear and intuitive operation. Language and functionality should be comprehensible, and content should appear and operate in predictable ways.
- Robust: A robust design smoothly interacts with different browsers, tools, and technologies, including assistive technologies like screen readers.
Embracing these principles doesn’t just amplify the user experience; it fine-tunes the performance for everyone. After all, a design that’s accessible to all is like a performance that gets a standing ovation from the entire crowd, not just a few.
POUR principle embedded in accessibility design across various categories
A. Visual, Auditory, and Motor Accessibility Techniques
- Colour Contrast and Text Size: Just as we wouldn’t want our audience squinting at a dimly lit stage, we ensure high contrast between text and background colours, making content legible for those with visual impairments. Enlarging text without losing clarity is like offering binoculars to someone at the back of the room, ensuring they miss none of the action.
- Alternative Text (Alt Text): For those who can’t see the stage, alt text narrates the unseen images. It’s a descriptive audio track for the visual elements, ensuring users who rely on screen readers can ‘see’ the image with their ears.
- Captions, Transcriptions, and Sign Language Options: Captions are not just subtitles for the dialogue on stage; they’re a bridge for those with hearing disabilities, ensuring no line is missed. Transcriptions serve a similar purpose, offering a written account of audio content, while sign language interpretation adds an invaluable visual aid.
- Keyboard Navigation and Touch Targets: Not everyone can navigate the aisles of our digital theater with a mouse. Some rely on the keyboard to find their seat. Designing for keyboard navigation ensures they can access all content easily. Likewise, touch targets must be large enough for those with motor disabilities to select without error, akin to ensuring doorways are wide enough for wheelchairs.
B. Cognitive Accessibility Techniques
- Content Clarity and Navigation: The paths through our digital space should be as clear as aisle lights guiding to one’s seat. Menus and buttons should be straightforward, avoiding confusing jargon or complex terms. It’s like replacing Shakespearean English with plain language that everyone understands.
- Structured Layout for Easy Understanding: Just as an usher would present a well-organised program, our digital content should be laid out logically. Headings and lists break down information into digestible pieces, while consistent patterns and predictable behaviours make the user’s journey through the content feel like following a well-rehearsed choreography.
Each technique is a tool to remove barriers, akin to providing ramps, sign language interpreters, or audio descriptions at a live show. By implementing them, we’re not just putting on a performance; we’re orchestrating an inclusive experience where every customer, no matter their abilities, benefits from your product offerings.
Tools for Accessibility Testing
- WAVE (Web Accessibility Evaluation Tool): Imagine WAVE as your digital accessibility consultant. WAVE is a browser extension that gives you a rundown of how accessible your site is. With one click, WAVE highlights issues like missing alt tags on images, poor colour contrast, and more, essentially providing a quick health check of your site’s accessibility.
- Axe: This tool is like a detailed inspector who scrutinises every corner of your website. Integrated into your browser or testing framework, Axe runs through your site and flags violations of WCAG standards. It’s thorough, pointing out exactly where your site needs improvement to be more accessible.
- Lighthouse: Straightforward and unembellished, Lighthouse, a part of Google Chrome, gives you the hard facts about your website’s performance, including its accessibility. It scores your site out of 100, offering a clear measure of how well you’re doing and where you need to improve.
- Manual Testing with Screen Readers (like JAWS and NVDA): There’s no substitute for the real thing. Using screen readers like JAWS (Job Access With Speech) or NVDA (NonVisual Desktop Access), you can step into the shoes of a user with visual impairments. This experience is invaluable; it’s not just about ticking boxes for compliance but truly understanding the user journey.
Conclusion
Whether you’re building an e-commerce page or transforming your business website to enhance customer satisfaction, remember that accessibility is the linchpin of design excellence. Many customers might not recognise their own need for accessible features until they experience the seamless ease your product provides. Accessibility isn’t just about addressing specific disabilities; it’s about creating an environment where everyone finds interacting with your digital space effortless and enjoyable regardless of their abilities. In a world where inclusivity is increasingly recognised as a hallmark of quality and care, designing with accessibility at the forefront isn’t just a good practice—it’s a crucial strategy for connecting with a wider, more diverse audience and enriching their experience with your brand.
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Artificial Intelligence and Operational Efficiency
Introduction
A successful enterprise today hinges on operational efficiency. This refers to a business’s ability to deliver products or services cost-effectively without compromising quality. Constant innovation and adaptation are vital to achieve this balance. Artificial Intelligence (AI) stands out as a pivotal force reshaping industries. With its advanced data processing capabilities and predictive algorithms, AI offers tools to enhance processes from supply chain management to customer service. By integrating AI methodologies, companies not only streamline operations but also discover novel avenues for growth. This evolution signifies a fundamental shift in business strategy and productivity.
Background
Operational efficiency has consistently posed challenges for businesses. Historically, companies depended on manual processes and paper documentation, leading to increased processing times and potential for error. While innovations like assembly lines and ERP systems marked significant strides, they still necessitated human oversight. With the 21st century came the transformative influence of AI in business. Bolstered by enhanced computing capabilities and sophisticated algorithms, AI moved beyond mere assistance, autonomously analysing data, predicting trends, and initiating actions. This shift to an AI-centric approach not only sped up processes but also marked a strategic evolution in business. This evolution empowers companies to anticipate market shifts, innovate swiftly, and offer unmatched value, spotlighting the profound impact of AI on operational efficiency.
AI and Process Automation
In the realm of operational efficiency, one of AI’s most influential contributions has been in the area of process automation. At the heart of this revolution is Robotic Process Automation (RPA) – a technology that leverages software robots or ‘bots’ to automate routine, repetitive tasks that previously required human intervention.
Understanding Robotic Process Automation (RPA)
RPA is not just traditional automation on steroids; it’s a more sophisticated tool. Unlike earlier automation systems that followed strict, pre-defined rules and workflows, RPA bots can mimic human actions. They interact with digital systems, capture data, trigger responses, and even communicate with other systems, all without human interference. Moreover, when infused with AI capabilities, these bots can learn from previous tasks, make decisions based on real-time data, and adapt to new situations, making them more resilient and dynamic.
Real-world examples of businesses leveraging RPA for efficiency:
- Banking and Finance: Many leading banks have integrated RPA into their operations to automate tasks like loan processing, fraud detection, and customer data management. For instance, JPMorgan Chase introduced bots that performed tasks equivalent to 360,000 hours of human work in just a few hours, leading to quicker service delivery and reduced operational costs.
- Healthcare: RPA is transforming administrative processes in healthcare. Hospitals and clinics are using bots to schedule appointments, manage patient records, and handle billing, freeing up staff to focus on more critical patient care tasks.
- Retail: Companies like Walmart have deployed thousands of bots to automate various back-office tasks, including supplier payments and invoice processing. This ensures that operations run smoothly, especially during peak shopping seasons.
- Human Resources: Several firms are now using RPA to streamline HR tasks. For example, bots can scan and sort through large volumes of job applications, highlighting the most suitable candidates for recruiters, leading to faster and more efficient hiring processes.
- Supply Chain and Logistics: Companies like DHL leverage RPA to automate shipment scheduling, tracking, and customer communications. This results in timely deliveries, reduced errors, and enhanced customer satisfaction.
Cost Reduction Aspects
The financial benefits of AI integration into businesses are substantial, and one of its most evident impacts is cost reduction. By optimising processes, reducing errors, and foreseeing potential problems, AI contributes significantly to trimming unnecessary expenses.
1. Minimising Human Error
Human error, be it unintentional oversights or miscalculations, can lead to costly repercussions for businesses. Errors in invoicing, data entry, or even decision-making can not only result in monetary losses but also damage a company’s reputation. AI, with its precision-driven algorithms, mitigates such risks. Machine learning models, once trained, ensure consistent accuracy, which translates to fewer errors and substantial cost savings.
2. Overhead Cost Reduction through Task Automation
Operational overheads, such as labour costs, are among the significant expenses for many businesses. AI-driven automation of routine tasks means businesses can accomplish more with fewer resources. Tasks like data entry, report generation, and basic customer service can be automated, leading to a reduction in the need for extended workforce hours and, by extension, decreased overhead costs.
3. Predictive Maintenance in Industries
One of the transformative applications of AI in industries, particularly manufacturing, is predictive maintenance. Traditional maintenance models often work on a schedule or are reactionary, leading to unplanned downtime when equipment unexpectedly breaks down. AI, however, can predict when a machine is likely to fail by analysing data patterns from sensors and usage logs. By foreseeing potential problems, businesses can perform maintenance during non-peak hours and prevent expensive breakdowns, leading to smoother operations and reduced costs.
Challenges and Considerations
While the benefits of AI in business are vast and transformative, it’s essential to address the potential challenges and concerns that come with its integration.
1. Concerns Over Job Losses Due to Automation
One of the most pressing concerns about AI and automation is the potential displacement of jobs. As machines take over routine and repetitive tasks, there is a fear that many traditional roles, especially in sectors like manufacturing, data entry, and basic customer service, may become obsolete. This not only poses economic challenges but also raises socio-cultural and psychological issues related to job identity and self-worth.
2. Continuous Training and Upskilling of the Workforce
As the business landscape evolves with AI, the skillsets required in the workforce undergo a transformation. Companies need to invest in continuous training programs to ensure that their employees are equipped with the latest skills. This continuous upskilling can be both time-consuming and expensive. Moreover, there’s the challenge of overcoming resistance from employees who might be apprehensive about the technological shifts.
3. Data Privacy and Security Concerns with AI Integrations
AI systems thrive on data. The more information they process, the better they perform. However, this heavy reliance on data brings forth concerns about privacy and security. With breaches and cyberattacks becoming increasingly sophisticated, ensuring the security of AI systems and the data they handle is paramount. Additionally, there are ethical concerns about how data is used and the potential misuse of personal and sensitive information.
Future Prospects
The journey of AI in the world of business is just beginning, and its potential is vast and largely untapped.
1. Predictions for the Future of AI in Streamlining Business Processes
As AI technologies mature and become more accessible, it’s anticipated that even small and medium-sized enterprises will harness AI to streamline their operations. We can expect more refined AI algorithms that can handle complex tasks with little to no human intervention. Additionally, the convergence of AI with other emerging technologies, like quantum computing and the Internet of Things (IoT), promises to create synergies that can redefine business processes entirely.
2. The Potential for AI Tools to Further Revolutionize Operational Efficiency
Beyond mere automation, the future of AI in business lies in its potential to uncover novel solutions and innovative approaches. With advancements in deep learning and neural networks, AI systems might soon provide insights that were previously unimaginable. For instance, AI could revolutionise supply chain management by predicting global socio-political shifts and their potential impact on raw material availability. Similarly, in customer service, AI could offer hyper-personalised solutions based on a deep understanding of individual customer behaviours and preferences.
Conclusion
The marriage of AI and operational efficiency heralds a new age of innovation and productivity in the rapidly evolving business landscape. As companies seamlessly integrate these advanced tools, they position themselves at the forefront of industry transformation. Embracing AI is not just about technological advancement; it’s about crafting a future-ready strategy that prioritises both efficiency and growth. The journey ahead promises exciting breakthroughs, and businesses that harness the full potential of AI will undoubtedly lead the charge in setting new industry benchmarks.
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Minimum Viable Product Concept
Introduction
The world of product development is strewn with numerous terminologies, methodologies, and concepts that guide the creation of successful and market-worthy products. One such concept that often gets misinterpreted is the Minimum Viable Product (MVP). A closer examination of this term and a better understanding of its true meaning can do wonders for product development outcomes.
Let’s start by highlighting four possible misconceptions about an MVP that can dilute its actual purpose:
- An MVP is a raw, incomplete product: The word ‘minimum’ often gets wrongly associated with a lack of completeness or quality. In reality, an MVP is a refined product that has a streamlined set of features. The emphasis is on achieving high quality, usability, and value delivery within a narrowed scope, rather than on delivering a wide array of features.
- An MVP should be immediately profitable: Another misunderstanding is that the ‘viable’ in MVP is synonymous with profitability. However, this isn’t the case. ‘Viable’ refers to the MVP’s capability to deliver value to users, thereby validating core product-market fit assumptions rather than making immediate profits.
- An MVP is the final product: Some mistakenly believe that an MVP is the end product, marking the completion of the development process. On the contrary, an MVP represents the beginning of an ongoing learning and development cycle. It’s designed to collect user feedback, which then informs future product iterations.
- All MVP features should be minimal: It’s important to note that an MVP doesn’t mean downsizing every feature. The key is to concentrate on a small set of features necessary to validate the most critical hypotheses about the product.
Defining the Minimum Viable Product
An MVP, in essence, is the most pared-down version of a product that still delivers value to its early adopters. It’s a strategic tool to gather feedback and insights about the market, which can then steer further product development. This tri-component term can be defined as follows:
- Minimum: This component represents the narrowest possible set of features that can still make the product usable and valuable to the initial set of users.
- Viable: Despite its pared-down features, the product should be fully functional and valuable to users, capable of solving a problem or fulfilling a need.
- Product: An MVP is not a prototype or a beta version; instead, it’s a complete, functional product that is released to the market, albeit in its most basic form.
To illustrate this, let’s consider a hypothetical example of a team aiming to develop an innovative digital note-taking app. For the MVP, instead of incorporating a host of features like multimedia insertion, cloud syncing, handwriting recognition, or collaborative editing, they decide to focus on a few core features: creating, editing, and saving text notes.
Importance of MVP in Product Development
In the agile world of startups and fast-paced product development, an MVP plays a crucial role in streamlining the process and optimizing resources. Its benefits include:
- Validating Market Assumptions: By developing an MVP, companies can test their product in real market conditions before investing significant resources into full-scale development. For our digital note-taking app, the team can ascertain if their minimalist note-taking solution is something customers would find useful and be willing to pay for.
- Gathering User Feedback: MVPs provide an opportunity to collect valuable user feedback. Early adopters’ feedback on the functionality, usability, and overall value of the note-taking app would offer insights for further refinement and improvement.
- Reducing Waste: The focus on essential features prevents wastage of resources on developing elements that users may not value.
- Enabling Iterative Development: An MVP supports iterative development where a basic product version is launched quickly, followed by constant updates based on real-world user feedback.
The Benefits of the MVP Approach
The MVP development approach carries significant advantages for businesses and product teams:
- Risk Mitigation: An MVP approach significantly reduces the risks associated with product failure by testing the waters with a scaled-down product version before a full-scale launch. For instance, if the MVP of our note-taking app, which focuses only on text-based note creation, doesn’t get a favorable user response, the team can reassess their approach before investing more heavily in feature development.
- Market Validation: An MVP doubles as a market research tool, allowing the team to understand how their product resonates with users. It provides crucial feedback on whether the product solves a real problem for users and how it could be improved. Using our note-taking app as an example, the team can determine if users find the basic text note creation feature useful or if they demand more advanced features.
- Resource Optimisation: MVP development ensures efficient use of resources. By focusing on a minimal feature set, resources are not spent on non-essential features, leading to a quicker launch and early user feedback. This feedback then guides the future development process.
Building an MVP
Developing an MVP is a structured, iterative process. Here’s how it works:
- Idea Generation: The MVP development process starts with a product idea that can address a specific user need or problem. For our example, the team identifies a need for a minimalist, easy-to-use note-taking app that allows users to create, edit, and save text notes.
- Prioritisation: After identifying potential features, the team must decide which features are most important for the MVP. They need to balance the value of each feature to the user against its complexity to implement. For the note-taking app, the ability to create, edit, and save notes would be the primary focus, while more advanced features would be considered for future iterations.
- Development: In an agile environment, MVP development happens iteratively, with each sprint resulting in a shippable increment. Each iteration builds on the last, driven by user feedback and continuous learning. Collaboration between the development team and stakeholders is paramount.
- Launch: Once the MVP is developed, it is launched to a group of early adopters. This group comprises users who are most likely to provide constructive feedback. The note-taking app team would seek out users who often need to take quick, simple notes and are open to trying new solutions.
- Iteration: After the launch, the team must collect user feedback, analyse it, and use it to refine the product. Depending on the feedback received, the note-taking app team may decide to add new features (like multimedia support or collaboration tools), improve existing features, or make other changes to better meet user needs.
The Role of Business Analysts in MVP Development
A business analyst (BA) plays a vital role in MVP development. They work at the intersection of business needs and technical capabilities, translating between the two to ensure that the development team understands what to build. Their responsibilities range from gathering and prioritising requirements, liaising between business stakeholders and the development team, validating the MVP against the business requirements, and analysing user feedback.
Summary
The MVP concept has revolutionised the product development landscape. It enables businesses to mitigate risks, validate market assumptions, gather user feedback, and efficiently utilise resources. Every successful product we see today once started as an MVP, and it was through a process of learning, iterating, and refining that these products have become what they are.
With a robust MVP strategy, businesses can deliver products that not only meet user needs but also adapt to market changes and user expectations. By understanding and applying the principles of an MVP approach, businesses can significantly increase their product’s success chances in the market.
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Harnessing Cognitive Empathy to Anticipate and Navigate Career Disruptions in an AI-driven World
Brief introduction to cognitive empathy and its importance
Picture this: You’re sitting across from your best friend at a coffee shop. They’ve had a rough day at work and are explaining their frustrations. While they talk, you’re not just hearing their words—you’re trying to step into their shoes, understanding their feelings and thoughts from their perspective. This ability to “get” what someone else is experiencing in their mind is known as cognitive empathy. It’s like being a detective for someone else’s emotions.
In our personal lives, cognitive empathy helps us build strong and meaningful relationships. But in the workplace, it’s a different kind of secret weapon. It helps us understand colleagues or clients better, allows us to predict potential problems and, most importantly, helps us come up with solutions that make everyone feel heard and respected. In essence, it’s a key that unlocks successful communication and cooperation in the professional world.
The inevitability of career disruptions in the current AI-driven world
Now, think about a game of chess. You’re strategising, planning your moves ahead, but suddenly your opponent makes an unexpected move. You have to adapt, rethink your strategy and make new plans on the fly. Similarly, today’s job market is like a grand chessboard where Artificial Intelligence (AI) is an unpredictable opponent. From automated customer service to data analysis, AI is changing the rules of the game, shifting the job market, and introducing new players. This transformation, often causing what we call “career disruptions”, is a fact of life in our tech-driven world.
But just as in chess, being caught off-guard isn’t a dead-end; it’s an opportunity to reassess and adapt. That’s where our detective-like cognitive empathy comes into play. It helps us anticipate these career disruptions and navigate them effectively by understanding and adapting to the emotions and thoughts of those around us. Whether it’s the colleague who’s worried about automation or the client who’s embracing it, cognitive empathy helps us stay on our toes and keep up with the pace of change.
Image by Emeka Onwordi, PhD
How cognitive empathy can help professionals anticipate changes and adapt more effectively
One of the key benefits of cognitive empathy in a professional context is its ability to serve as an early warning system. By deeply understanding the intentions and emotions of others, we can foresee potential changes, disruptions, or shifts in our workplace environment.
Consider the recent news about British Telecom (BT). The company announced its plans to introduce AI technology, a move that may result in the elimination of jobs for about 55,000 workers. Such a situation could be seen as a crisis, but when viewed through the lens of cognitive empathy, it transforms into an opportunity for change.
Imagine Jane, a hypothetical BT employee. Jane understands the company’s drive to incorporate AI and foresees a potential disruption to her role. Using cognitive empathy, she intuits what customers might need beyond automated responses — perhaps a human touch for more complex problems.
In this situation, Jane could pivot her career into business analysis or a role as a change manager. As a business analyst, she would work to bridge the gap between technology and business needs, understanding the business’s objectives, processes, and strategies to implement effective solutions. This role would involve a deep understanding of both the business’s needs and the possibilities offered by technology, a position that is critical in an AI-driven environment.
On the other hand, as a change manager, Jane would guide the company through the transition to an AI-focused approach. Change managers oversee and manage the change process, ensuring that the company meets its objectives while minimising disruptions. They prepare the organisation for change, manage the transition, and help employees adapt to the new environment. This role would require understanding the needs and fears of her colleagues, as well as the overall goals of the company — an ideal application of cognitive empathy.
With either pathway, Jane would be leveraging her cognitive empathy to not just survive in an AI-driven world but to thrive. She doesn’t merely react to change but anticipates it, adapts to it, and potentially influences it, proving her value and relevance no matter how the AI-driven world evolves.
Conclusion
Cognitive empathy can turn potential disruptions into opportunities for career growth, helping us pivot and remain resilient amidst change. Career disruptions are like unexpected chess moves — it’s all about how we respond and adapt. And sometimes, additional training can help us respond even better.
TekStepp’s Applied Business Analysis Masterclass offers a comprehensive programme tailored for professionals seeking to pivot their careers, secure financial stability, or embark on a rewarding new path. This 12 weeks programme is your opportunity to step into roles such as Business Analyst, Process Improvement Specialist, UAT Test Analyst, or Business Change Manager, among others. Each of these positions provides the potential to earn 6 figure salaries, often coupled with the convenience of remote working. For more information, contact info@tekstepp.com or follow the contact us link below
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Personas and User Journey Mapping in Human-Centered Product Design
When it comes to product design, understanding the user is paramount. Without a clear understanding of who you’re designing for, it’s a bit like setting sail without a compass—you might end up anywhere. Still, chances are it won’t be your desired destination. In the Human-Centered Product Design (HCPD) framework, we use two powerful tools to understand our users: Personas and User Journey Mapping. Let’s explore these concepts in detail.
Personas
Imagine you’re baking a cake for a friend. You wouldn’t toss in any random ingredients you find, right? You’d want to know what your friend likes – whether they prefer chocolate or vanilla, if they’re allergic to nuts, or if they love frosting. In other words, you’d want to understand your friend (your end-user) to make the best cake possible.
Personas in product design are a lot like understanding our friend’s preferences. They’re detailed, fictional characters that represent the key traits of a larger group of users in terms of their goals, needs, behaviours, and pain points.
Creating a persona involves your real user base’s research — interviews, surveys, or observations. For instance, if you were developing a fitness app, a persona might be “Sandra, a 30-year-old busy working mom who wants to stay fit but struggles to find time for the gym.”
The power of a persona lies in its ability to generate empathy and guide design decisions by constantly reminding you of ‘Sandra’ and her needs. Thus, the features you decide to incorporate in your app—like short, high-intensity workout routines or schedule reminders for workouts—would be designed to assist ‘Sandra’ in her fitness journey.
User Journey Mapping – Charting the Course
Once we have our personas in place, it’s time for the next step: User Journey Mapping. This tool helps us understand the path our users—like our friend Sandra—would take when interacting with our product.
In our fitness app example, Sandra’s user journey might start from hearing about our app from a friend. The next steps might be downloading the app, signing up, choosing a workout routine, and so on. Sandra will have different emotions, pain points, and needs at each stage, which can be plotted on the user journey map.
For instance, she might feel excited after hearing about the app but frustrated if the sign-up process is too complex. Recognising these emotions and their triggers can help us identify areas of improvement. For Sandra, we could simplify the sign-up process and provide clear instructions to ease her frustration.
By visualising Sandra’s journey, we can see our product from her perspective, helping us to design a user-friendly product that not only meets her needs but also provides a positive user experience.
Business Analyst in the HCPD Journey: Turning Frustration into Fulfillment
“It’s not right.
It’s what you said you wanted.
Well, it’s still not right.”Robin F. Goldsmith (2004) used the above to highlight the disconnect between what users say they want, what developers understand, and what’s ultimately delivered.
This is where the role of a Business Analyst (BA) becomes critical. BAs are the connective tissue between the business needs and the technical team in the world of software development. They navigate the gap between business needs, user requirements, and technical capabilities to ensure the final product delivers value and meets the user’s expectations.
These requirements captured during discovery set the tone and parameters for the system under development. If these aren’t accurately captured, understood, and communicated, the chances of delivering a successful system decrease significantly.
However, as shown below, a BA’s role continues after requirement elicitation and documentation. They continue to engage with both the business stakeholders and the development team throughout the project lifecycle, providing clarifications, handling requirement changes, and ensuring that the developed solution aligns with the original business needs and user expectations.
Stages of Business Analysis in HCPD
- Requirements Elicitation: Using personas like Sandra, a BA can clearly articulate what the user needs from the product. For our fitness app, these requirements might include a simplified sign-up process, workout reminders, or short, high-intensity workout routines.
- Requirements Analysis and Documentation: Here, the BA breaks down the elicited requirements into smaller, more manageable parts, ensuring they are realistic, achievable, and clearly defined.
- Requirements Validation and Prioritisation: With our User Journey Map as a guide, the BA works with stakeholders to validate and prioritise requirements. Some features may be essential to launch (like a user-friendly interface), while others can be developed in later phases (like integrating a social feature for users to share their progress).
- Supporting the Development Process: As the development team starts building the product, the BA is their point of reference for any questions or clarifications about the requirements. They ensure that the team is on track to build a product that genuinely serves users like Sandra.
- Testing and Validation: When the initial product version (or ‘build’) is ready, the BA helps validate that the product meets the outlined requirements and serves the user’s needs effectively. This can be done through user acceptance testing (UAT) and reviewing feedback from real users.
The Symphony of Personas and User Journey Mapping
In the end, personas and user journey mapping work together like a symphony. They provide a solid foundation for effective human-centred product design by ensuring that our users, like Sandra, remain at the heart of our design process. By understanding our users and their interactions with our products, we can create solutions that truly resonate with them, leading to successful products and, ultimately, a successful business.
So, next time you’re tasked with product design, remember our friend Sandra. By keeping her and her journey at the forefront, you’re more likely to design a product that truly meets her needs, leading to a tastier ‘cake’—or in our case, a successful, human-centred product!
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Applied Business Analyst Training
At Tekstepp Solutions, we offer an immersive, Real-World Project-Based Training service designed to enrich your understanding and application of business analysis. This comprehensive programme offers a unique learning experience featuring projects inspired by actual success stories from industry leaders such as Salesforce, Microsoft, and ServiceNow.
Our training goes beyond conventional theoretical approaches, offering you a hands-on opportunity to apply the principles and practices of business analysis in a practical context. This means that you’re not just learning – you’re preparing for real-world scenarios that will strengthen your professional capabilities.
Our aim is to equip you with a robust foundation for your career in business analysis, regardless of your current skill level. Whether you’re a novice stepping into the field or an established professional looking to expand your skill set, our service is designed with your growth in mind. Our meticulously crafted training modules provide you with the necessary tools to excel in your business analysis endeavours, leveraging insights drawn from the industry’s most influential success stories. We don’t just teach business analysis – we immerse you in it. -
Integrating Customer Experience (CX) and User Experience (UX): Unlocking Value Through a Unified Approach
Introduction
In the age of customer-centricity, businesses across industries are focused on creating value by delivering exceptional customer experiences (CX) and user experiences (UX).
CX refers to all customer interactions with a company across various touchpoints, including customer service, sales, marketing, and product usage. It captures these interactions from when customers first learn about the company to when they make purchases or leave the company for good. CX, thus, encompasses the customers’ perceptions, emotions, and overall satisfaction with a brand. For example, CX could include elements such as:
- Ease of use: How easily can customers find what they’re looking for and complete their tasks?
- Quality: How good are the company’s products and services?
- Packaging: How well are the products packaged and shipped?
- Delivery: How quickly and reliably are the products delivered?
UX, on the other hand, focuses on the usability, functionality, and accessibility of a product or service, primarily through digital interfaces like websites, applications, or software. It reflects how users interact with and perceive the design, layout, and overall experience. A well thought-out UX design may involve aspects of a company such as:
- User interface (UI): The UI is the visual and interactive elements of a product or service that users interact with. A good UI is easy to use and understand, and it helps users to complete their tasks quickly and efficiently.
- Layout: The layout of a product or service is the way that the content is organised. A good layout is easy to scan and understand, and it helps users to find what they’re looking for quickly.
- Filters and search functions: Filters and search functions help users to narrow down the results of their search and find what they’re looking for more quickly. A good set of filters and search functions is comprehensive and easy to use.
- Checkout process: The checkout process is the series of steps that a user must complete in order to purchase a product or service. A good checkout process is easy to follow and understand, and it is quick and efficient.
In a real sense, CX is a broader concept than UX. Whilst CX encompasses all aspects of a customer’s interactions with a company, UX focuses on the specific experience of using a product or service. The chat above shows that key differences.
Benefits of Integrating CX and UX Principles
- Enhanced decision-making: Integrating CX and UX perspectives enables business analysts to understand customer needs comprehensively. For instance, the analyst may discover that while customers appreciate the website’s design, they need more support with the slow shipping times. The company can make better-informed decisions to improve customer satisfaction by addressing both aspects.
- Increased customer loyalty: Companies can foster long-term relationships and drive customer retention by understanding and addressing customers’ pain points. For example, suppose a company improves its shipping process and optimises its website based on user feedback. In that case, customers are more likely to return for future purchases.
- Improved product/service offerings: Gaining insights into customer and user preferences allows businesses to refine their offerings to meet market demands. For instance, during digital transformation, a business analyst might identify through surveys that customers want more sustainable and eco-friendly products, prompting the company to adjust its product range accordingly.
- Streamlined processes: Incorporating CX and UX feedback early in development can help identify and resolve issues more efficiently. Suppose a company learns customers have difficulty navigating the website’s mobile version. In that case, the business analyst can work with the development team to address the issue, reducing costly redesigns or rework later.
Practical Considerations for Integrating CX and UX Principles:
There are a number of ways in which business analysts can integrate CX and UX principles into their work. Here are a few examples:
- Collaboration with cross-functional teams: Business analysts should work closely with UX designers, CX experts, product owners, and other stakeholders to ensure a unified understanding of customer needs and preferences.
- Use of customer journey maps and personas: Developing customer journey maps and personas can help business analysts visualise and empathise with different customer segments, allowing them to anticipate customer behaviours and design better solutions.
- Data-driven approach: Leverage customer feedback, surveys, interviews, and usage analytics to identify trends, patterns, and areas of improvement and to inform decision-making.
- Usability testing: Business analysts should participate in usability testing sessions to validate assumptions, evaluate prototypes, and gather valuable insights from users (user research).
- Iterate and improve: No product or service is perfect. It is important to iterate and improve the product or service based on user feedback. By iterating and improving, you can create a product or service that is truly user-friendly and engaging.
- Design with empathy: It is important to design with empathy when designing products and services. This means putting yourself in the user’s shoes and understanding their perspective. Designing with empathy makes you more likely to create products and services that users love.
Conclusion
Integrating Customer Experience (CX) and User Experience (UX) principles in business analysis enables organisations to stay competitive and deliver experiences that meet or exceed customer expectations. Businesses can unlock significant value and drive sustainable growth by fostering cross-functional collaboration, using data-driven insights, and focusing on the end-to-end customer journey.
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Design Thinking in Business Analysis
The business landscape is constantly in flux, driven by technological advancements and ever-evolving customer needs. To keep pace with these changes and maintain a competitive edge, forward-looking organisations adopt innovative strategies and methodologies that enhance their ability to understand and respond to dynamic market demands. Within this context, the integration of design thinking into business analysis has emerged as a powerful tool for creating more meaningful, user-centric solutions.
Design Thinking: The Backbone of User-Centric Solutions
Design thinking is a problem-solving approach that focuses on understanding and empathising with end-users to create human-centred products and services. It encourages businesses to challenge assumptions, redefine problems, and explore innovative solutions to enhance user satisfaction. The process comprises five key stages: empathise, define, ideate, prototype, and test.
- Empathise: Gain insights into user needs, feelings, and motivations by engaging with them through interviews, observations, and other qualitative research methods. For example, let’s assume a start-up wants to develop a fitness app tailored for busy professionals. They conduct interviews with potential users, observe them during workouts, and gather data on their exercise habits and preferences. Through this process, they identify common challenges such as time constraints, lack of motivation, and difficulty in tracking progress. By doing this, the start-up can identify common challenges such as time constraints, lack of motivation, and difficulty in tracking progress.
- Define: Synthesise the collected data to identify the core problem and establish clear objectives to address users’ needs. Continuing on the above example, based on the insights gathered during the empathise phase, the start-up can synthesise the data to identify the core problem and establish clear objectives to address users’ needs. In this case, the start-up may redefine its core problem as developing a fitness app that is easy to use, provides motivation and support, and allows busy professionals to track their progress efficiently.
- Ideate: Generate a wide array of possible solutions by fostering a collaborative and creative environment. In the example, the start-up can generate a wide array of possible solutions through ideation. They may consider features such as personalised workout plans, motivational reminders, and progress-tracking mechanisms. Brainstorming sessions can be held to generate creative solutions that will make their app unique and engaging for their target audience.
- Prototype: Create a tangible representation of the selected ideas to visualise and assess their feasibility and effectiveness. Here, the start-up can create a tangible representation of the selected ideas to visualise and assess their feasibility and effectiveness. They may create wireframes or even a clickable prototype to get feedback from potential users. This stage will allow the company to gather feedback early in the process and make necessary changes before investing heavily in development.
- Test: Validate the prototypes through user feedback, refine the solutions based on the insights, and iterate until the desired outcome is achieved. Validation of the prototypes through user feedback provides a valuable starting point to refine the solutions based on the insights and iterate until the desired outcome is achieved. This iterative process of testing and refining will allow the start-up to create an app that genuinely meets the needs of its target audience.
It is important to note that while the stages of design thinking often follow sequentially, the process is inherently iterative and flexible. Teams may move back and forth between stages as they uncover new insights and learn more about users’ needs. For instance, feedback gathered during the testing phase might prompt a revisit to the empathise or ideate stages, allowing for the refinement of the team’s understanding or the generation of new ideas. This adaptability ensures that the design thinking process remains focused on delivering solutions that truly address users’ needs and expectations, encouraging continuous learning and improvement throughout the project.
Integrating Design Thinking into Business Analysis
Business analysis aims to identify an organisation’s needs, determine the best solutions, and ensure that implemented changes yield desired results. By incorporating design thinking into business analysis, organisations can enhance the decision-making process, optimise their operations, and create user-centric solutions.
- Enhance Requirements Gathering: Empathising with users during the design thinking process enables business analysts to gather more accurate and detailed requirements. This understanding fosters the development of solutions that genuinely address user needs and expectations.
- Encourage Collaboration: Design thinking encourages collaboration across multiple departments, breaking down silos and promoting a shared understanding of user needs. This approach ensures that everyone is working towards the same goal, ultimately leading to more effective and cohesive solutions.
- Foster Creativity and Innovation: Design thinking pushes business analysts to challenge assumptions, question the status quo, and think outside the box. This mindset promotes the development of innovative solutions that differentiate organisations from their competitors and delight users.
- Enable Continuous Improvement: The iterative nature of design thinking helps organisations learn from user feedback, allowing them to continuously refine their offerings and enhance user experiences. This adaptability is crucial for remaining competitive in today’s fast-paced business environment.
Conclusion
Integrating design thinking into business analysis provides a powerful framework for organisations to develop innovative, user-centric solutions that drive customer satisfaction and loyalty. By understanding and empathising with their users, businesses can identify and address their needs more effectively, fostering an environment that encourages creativity and collaboration. Ultimately, embracing design thinking in business analysis enables organisations to stay ahead of the curve and maintain a competitive edge in the ever-evolving marketplace.
To learn more about business analysis and gain hands-on experience, consider participating in our 3-month immersive business analysis training program. This program offers real-life projects adapted from customer success stories of leading software companies like Salesforce and Microsoft, providing invaluable practical experience. For details on how to enhance your skills and jumpstart your career in business analysis, email us today at info@tekstepp.com.
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The Unique Advantage of Versatile Professionals: Adapting Across Industries Amid the Current Job Market
Introduction
The recent US job report for April highlights a wide range of opportunities across various sectors. Healthcare and social assistance lead the way with 64.2K new jobs, followed by professional and business services at 43K, leisure and hospitality at 31K, and other sectors with notable increases.
In today’s rapidly evolving job market, possessing skills that can be applied across various sectors is critical. However, certain fields inherently focus on specific activities, limiting the perceived employability of workers in those fields. For example, a construction worker may be unlikely to immediately find a role as a financial advisor despite having transferable skills such as teamwork and problem-solving. In contrast, versatile professionals possess unique advantages that transcend sectors due to their ability to address and solve common high-value business problems, irrespective of the industry.
Based on the US job report, this short piece looks at the unparalleled value of these versatile professionals in today’s job market and demonstrates how their skillset enables them to adapt and succeed in various industries.Adaptable Skillsets and Versatility in the Workforce
Professionals with adaptable skillsets, such as business analysts and IT specialists, are uniquely positioned to bridge the gap between technology and business needs across a variety of sectors. These roles are characterised by their ability to navigate the challenges and opportunities that arise in different industries. For example, a business analyst can leverage their skills in data analysis, project management, process improvement, and effective communication to assess complex issues and identify opportunities for growth across industries. Similarly, IT specialists can employ their technology and systems management knowledge to support and drive innovation in any sector.To appreciate our viewpoint, we can relate the above to the concepts of asset specificity and relationship-specific assets and understand how they translate into employment-relationship skills in a particular sector compared to adaptable skills. Asset Specificity reflects the degree to which an asset can be used for different purposes. High specificity means there is little opportunity to use an asset for anything other than its intended purpose. However, low specificity implies that an asset has many possible different uses. (Note that this definition does not suggest that professionals that can work in any sector do not have specialised skillsets. Instead, low specificity means high adaptability of one’s job type to any industry.) On the other hand, Relationship-Specific Assets are designed to support a given activity and cannot be redeployed to another activity without incurring additional costs. The idea of Relationship-specific assets extends to that of employment-industry-specific skills. (more on this in a later article…) In other words, employments with low relationship specificity involve versatile skills that can be readily applied across various contexts and industries, allowing for easy adaptation to the ever-changing job market.
Strategies for Adapting and Succeeding in a Diverse Job Market
The US job report demonstrates that opportunities are abundant across various industries. With their adaptable skill sets, versatile professionals, such as business analysts and IT specialists, are well-equipped to adapt and excel in these diverse environments. Moreover, by focusing on the intersection of technology and business, these professionals can successfully transition between sectors, bringing valuable insights and strategies that drive innovation and growth.
To further enhance their employability, versatile professionals can..
- Pursue relevant training programs to deepen their expertise and stay up-to-date with industry trends.
- Develop a strong professional network that spans multiple sectors, increasing their visibility and access to job opportunities.
Indeed, the US job report showcases a wide range of opportunities across industries, making adaptability and versatility essential for today’s workforce. Professionals with transferable skills possess unique advantages in this regard. By leveraging their versatile skills and focusing on continuous learning and professional development, these professionals can thrive in the ever-changing job market and contribute to the growth and innovation of diverse industries.