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Lead community of business and system analysts. Follow us on LinkedIn: https://www.linkedin.com/groups/9800419. Admin: @nadina_12.
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доля реакций к просмотрам- 13 авг.AI WON’T MAKE YOU A SENIOR BA — BUT WHAT WILL ❓ AI can write user stories, summarize workshops, generate diagrams, and propose edge cases. That’s useful. But it’s not “seniority”. A Senior BA/SA isn’t the person who has AI doing the work instead of them. It’s the person who can work with AI—and still own the thinking. Seniority = your ability to use AI as a co-pilot, not a replacement. What actually makes you senior (and how AI fits): – You frame the problem. AI drafts artifacts. Senior BAs define the real problem, constraints, and success metrics. Then AI helps produce faster. – You validate reality. AI generates hypotheses. AI can suggest options; you run stakeholder checks, data checks, and “is this true in our domain?” tests. – You own trade-offs. AI expands the option space. Seniors decide what to sacrifice (scope/time/risk/UX/compliance) and document why. AI helps compare. – You think in systems. AI helps with coverage. Seniors anticipate downstream effects (data, integrations, ops, failure modes). AI helps enumerate and map. – You manage ambiguity. AI helps structure it. Seniors don’t “fill gaps” with confident text. They define assumptions, unknowns, and a learning plan. – You drive alignment. AI helps with communication. Seniors align incentives across PO/Eng/QA/Legal/Ops. AI helps tailor messages, but you own the negotiation. A simple rule that changes everything: Use AI to increase throughput, but use your BA skills to increase truth. If you want a practical habit: Before sending anything AI-generated, add a “Senior BA layer”: - What assumptions did we make? - What can break? - What decision are we making, and who signs it off? AI won’t make you senior. Working with AI—while owning judgment, validation, and decisions—will. BusinessAnalysis RequirementsEngineering AI ProductDiscovery StakeholderManagement SystemsThinking2,30%
- 1 июл. 2025 г.без подписи2,05%
- 10 июл. 2025 г.BA Community Meetup in Kraków 🙌 Hey, Community! On July 8th, we with Andersen People have held a collaborative meetup in Krakow. Together with Vitali Birchanka, CBAP (Lead Presale Business Analyst at Andersen) and Iryna Hurska (Lead IT Business Analyst at MobiDev and creator of EasyBA), we explored the evolving role of business analysts in presales and project delivery. The atmosphere was very cozy and welcoming, which made our discussions even more engaging and productive. We discussed how BAs can go beyond routine tasks to become strategic advisors—helping shape offers, build trust early, and use industry insights and AI to address client needs. Key topics included the difference between BA services and daily work, effective deliverables like feature lists and product vision outlines, and practical ways to manage risks throughout presale, discovery, and implementation phases. Real-world cases and templates were shared to illustrate these points. For those who couldn’t join us in person, watch the full meetup here: Recording 🎥 💌 Huge thanks to our speakers for their expertise and inspiration, and a big thank you to everyone who attended and contributed to the great energy of the meetup! If you still have any remaining questions to Vitalii or Irina or want to continue the discussion - please share your thoughts in the comments! #BusinessAnalysis #Presales #BACommunity #Andersen #EasyBA #ITBusinessAnalysis #ProjectManagement #KrakowMeetup1,64%
- 3 янв. 2025 г.📊Hi, community! Thank you all for participating in our recent poll! There is no doubt that choosing the architecture depends on the project you work in, but Microservices Architecture is becoming more and more popular nowadays. 🌀 ❓What are Microservices? Microservices are an architectural pattern that structures an application as a collection of loosely coupled, independently deployable services. Each service is designed around a specific business capability and communicates with others through well-defined APIs. 🔗 This modular approach allows for greater flexibility, scalability, and faster development cycles. ⚙️ As projects become more complex and demand greater adaptability, microservices provide a robust solution by enabling teams to develop, deploy, and scale services independently. This approach not only fosters faster innovation 🚀 but also enhances fault tolerance, ensuring that issues in one service don’t bring down the entire application. 🔧 Key Benefits of Microservices Architecture: 🔹Scalability 📈: Easily scale individual services based on demand without affecting the whole system. 🔹Flexibility 🔄: Teams can choose the best technologies for each service, promoting innovation. 🔹Faster Development ⏩: Independent services enable parallel development, reducing time to market. 🔹Improved Fault Tolerance 🛡: A failure in one service doesn’t compromise the entire application. 💬 What are your thoughts on adopting microservices in your projects? Please, share your experiences below! 🤝 #Microservices #SoftwareArchitecture #BusinessAnalysis #TechTrends #Innovation1,62%
- 29 апр.без подписи1,48%
- 28 янв. 2025 г.RESTful APIs: The Clear Choice for Analysts! 🌐✨ In our recent poll within the community, it’s no surprise that REST APIs received the most votes as the preferred API protocol among analysts and developers. It's clear that this architectural style remains a cornerstone of modern web services. 🚀💻 What is a RESTful API? 🤔 A RESTful API (Representational State Transfer) is an application programming interface that adheres to the principles of REST architecture. It allows different software applications to communicate over the internet using standard HTTP methods. This approach promotes stateless communication, where each request from a client contains all necessary information for the server to fulfill it. Architectural Constraints of REST 🏗 REST is defined by several key constraints that ensure its effectiveness: 🔹Client-Server Architecture: The client and server operate independently, allowing for separation of concerns. 🔹Statelessness: Each request is treated independently; no client context is stored on the server between requests. 🔹Cacheability: Responses must define themselves as cacheable or non-cacheable to improve performance. 🔹Uniform Interface: A standardized way of interacting with resources simplifies and decouples the architecture. 🔹Layered System: The architecture can be composed of multiple layers, enhancing scalability and security. HTTP Methods in RESTful APIs 🔍 RESTful APIs utilize standard HTTP methods to perform operations on resources: ✅GET: Retrieve data from the server (e.g., fetching user information). 📥 ✅POST: Create a new resource (e.g., adding a new user). ✅PUT: Update an existing resource (e.g., modifying user details). 🔄 ✅DELETE: Remove a resource (e.g., deleting a user). ❌ ✅PATCH: Apply partial modifications to a resource. ✏️ Practical Example 💡 To illustrate how we can use RESTful APIs in practice, let’s consider a simple user management system. Here’s how you might interact with the API: 1️⃣GET Request: To retrieve all users: GET /api/users 2️⃣POST Request: To create a new user: POST /api/users Content-Type: application/json { "name": "John Doe", "email": "john.doe@example.com" } 3️⃣PUT Request: To update an existing user: PUT /api/users/1 Content-Type: application/json { "name": "John Smith", "email": "john.smith@example.com" } 4️⃣DELETE Request: To delete a user: DELETE /api/users/1 Let’s continue the conversation! What has been your experience with REST APIs? How have they impacted your projects? Share your insights below! 💬👇 #APIs #REST #SoftwareDevelopment #BusinessAnalysis #WebDevelopment #TechTrends1,48%
- 18 мар. 2025 г.🔍 How to Hear What’s Not Being Said: Understanding Context in International Teams 🌍 Do you work in an international team? 🤝 Do you sometimes feel like some colleagues “talk a lot but say little”, while others “stay silent even when they know the answer”? The issue might not be personal — it may be a matter of cultural communication differences. 📖 In The Culture Map, Erin Meyer explains one of the most important distinctions in cross-cultural communication: the difference between high-context and low-context cultures. Understanding this difference is crucial for any team working on complex IT projects. 🌎 What does this mean? 🔹 High-context cultures (e.g., 🇯🇵 Japan, 🇨🇳 China, 🇮🇳 India, 🇫🇷 France) rely on “reading between the lines”. It’s about picking up hints, gestures, pauses. Saying things directly can be considered rude. Silence might mean agreement — or disagreement. In these cultures, listening is often more important than speaking. 🔹 Low-context cultures (e.g., 🇺🇸 USA, 🇩🇪 Germany, 🇬🇧 UK, 🇳🇱 Netherlands) value directness and clarity. If someone doesn’t say anything, it means they have nothing to say. Everything should be clearly articulated and agreed upon — no guessing games. 🧐 Examples of interaction: ✔️ High-context culture: 📌 A colleague picks up on an unspoken hint from their manager and understands the task without explicit explanation. 📌 A manager expresses dissatisfaction not directly, but “between the lines” — through a joke or irony. 📌 An informal meeting without a set agenda may be seen as a way to build trust, not as a waste of time. ✔️ Low-context culture: 📌 A colleague expects you to speak up if you have an idea — without waiting to be asked. 📌 A manager believes instructions should be clear; if not, that’s poor management. 📌 An analyst expects open discussion and is not surprised by direct criticism. 💡 Why is this important for IT teams? Imagine a project involving specialists from 🇮🇳 India, 🇺🇸 USA, 🇩🇪 Germany, and 🇪🇪 Estonia. 💬 Some colleagues wait for an invitation to speak, while others interrupt and argue openly. 🤫 Some see silence as agreement; others see it as sabotage. If these cultural differences are ignored, discussions can stall, and projects suffer from miscommunication. 🚨 Most importantly: This doesn’t mean every Japanese person is silent or every American is direct — everyone is unique. But understanding cultural patterns helps avoid hasty judgments and build better collaboration. ✅ Takeaways: 🔹 Learn about your colleagues’ cultural backgrounds. 🔹 When working with high-context cultures, listen more, ask clarifying questions. 🔹 When working with low-context cultures, don’t hesitate to speak directly and expect direct answers. 🔹 And remember: It’s not just about “hearing” — it’s about truly “listening”, even to what remains “in the air”. 👂✨ 💬 Which culture do you relate to more? 👇 #InternationalTeams #CulturalDifferences #CommunicationSkills1,35%
- 14 авг.Why Good Requirements Are About Value, Not Just Documentation 📝 In many teams, the quality of requirements is judged by how detailed they are. Clear structure, full coverage, precise acceptance criteria — all of that matters. But detailed doesn’t always mean valuable. I’ve seen a team spend weeks documenting and building a feature with perfect requirements — every edge case covered, every scenario described. After launch, almost no one used it. The problem it solved wasn’t a real problem. Around the same time, a small change — barely half a page of documentation — reduced friction for users and cut support. The difference wasn’t in how the requirements were written. It was in how well the value behind them was understood. Documentation is not the goal. Value is. As Business Analysts, we are often trained to focus on completeness: cover all scenarios, write precise acceptance criteria, document every detail. That’s important. But it’s not the end goal. A good requirement doesn’t just describe what needs to be built. It makes clear why it matters — to the user, the business, or the product. When that “why” is missing, problems appear: features get delivered but don’t solve real user problems, teams optimize for output instead of outcomes, priorities become unclear or shift, and “done” doesn’t always mean “useful.” When value is clear, decisions become easier. Trade-offs make sense. Teams align faster. Stakeholders stop treating the backlog as a wish list. How value changes the way you write requirements? Focusing on value doesn’t mean writing less. It means writing differently. Instead of only asking “What should this feature do?” ask: “What problem are we solving?”, “Who benefits and how?”, “How will we know if this is successful?”, “What happens if we don’t do this?” This shifts requirements from “descriptions of functionality” to “arguments for why this work matters.” In practice, that means connecting user stories to real user needs, challenging requirements without a clear purpose, keeping them lean when extra detail adds no value, and making trade-offs based on impact, not effort. Why this makes you a stronger BA? Teams don’t struggle because they lack documentation. They struggle because they lack clarity about what matters and why. A Business Analyst who focuses on value helps the team avoid building things nobody needs, makes prioritization conversations more grounded, and becomes a thought partner, not just a requirements writer. How to start: before writing your next requirement, spend five minutes answering, “What happens if we don’t build this?” If the answer is “nothing much” — challenge whether it belongs in the sprint at all. If the answer is clear and painful — let that pain drive the way you frame the story. Good requirements are not the ones with the most detail. They are the ones that lead to meaningful outcomes. Because in the end, Business Analysts don’t just document features. They help ensure what gets built actually matters.1,33%
- 26 июл.Top-3 bad advice life tried to sell me before my IT traineeship in Andersen 🤔 People think moving from any sphere to IT is a career change. Well, be careful, spoilers: that could also be an upgrade. I became an analyst at almost 30, and not despite my background. I became an analyst because of it. Here’s what selling, hospitality and many other spheres taught me about listening, fearing and speaking. Here’s why that experience is worth more than most certificates. And to express that I’ll share 3 main thoughts people from around tried to sell me, and would sell, if I didn’t know, how sales actually work. _________________________________________________ Tell us in comments about your experience of entering IT. And if you're not in IT yet, tell us about your current step. Did you come from sales or another "unrelated" field? What lesson from your past unexpectedly helped you in IT? Or — if you’re still on the way — what are you bringing with you that no course can teach? 👇 Share your own story bellow. Let’s find out the diversity of our beautiful and exciting paths! BusinessAnalysis SalesToIT CareerChange BALaboratory RealTalk ITCareer SoftSkills1,32%
- 8 янв. 2025 г.📊 Hello, community! As we continue our exploration of software architectures, let's dive into Monolithic Architecture. 🌀 While Microservices are gaining popularity, Monolithic Architecture remains a viable option for many projects. ❓ What is Monolithic Architecture? Monolithic architecture is a traditional approach where an application is built as a single, unified unit. This means that all components of the application are interconnected and interdependent, operating within one codebase. While this can simplify development initially, it poses challenges as applications grow in complexity. As projects scale, the tightly coupled nature of monolithic systems can lead to difficulties in deployment and maintenance. Any change or update often requires redeploying the entire application, which can be time-consuming and risky. However, for smaller applications or teams, monoliths can facilitate faster development cycles and easier management due to their simplicity. Key Characteristics of Monolithic Architecture: 🔸Single Codebase: All functionalities are contained within one codebase, making it easier to manage initially. 🔸Tight Coupling: Components are interdependent, which can lead to challenges when scaling or modifying the application. 🔸Simplified Deployment: The entire application is deployed at once, reducing the complexity of managing multiple services. Advantages of Monolithic Architecture: 🔹 Simplicity: Easier to develop and deploy for small applications. 🔹 Performance: Communication between components is faster since they share the same memory space. 🔹 Fewer Resources Required: Initial development requires less overhead compared to managing multiple services. However, as applications grow and require more features or scalability, teams may find themselves facing significant hurdles with monolithic architecture. Transitioning to microservices might become necessary for larger projects needing flexibility and independent scaling. 💬 What has been your experience with Monolithic Architecture in your projects? Share your thoughts and insights below! 🤝 #MonolithicArchitecture #SoftwareDevelopment #BusinessAnalysis #TechTrends #Innovation1,31%
- 20 янв. 2025 г.5 Most Popular Software Architecture Patterns 🏗✨ Did you know? Implementing well-defined architectural patterns can decrease the likelihood of critical errors by approximately 20%, as they provide structured approaches to common design problems. Source 🚀 Choosing the right software architecture pattern is crucial for building scalable, maintainable, and efficient applications. Here are 5 of the most popular architecture patterns used in the industry today: 1. Layered Architecture Pattern 📊 Organizes software into distinct layers, each with specific responsibilities (e.g., presentation, business logic, data access). Usage: 🔹 Ideal for applications that need to be built quickly. 🔹 Common in enterprise applications requiring traditional IT processes. 🔹 Suitable for teams with limited architectural experience. Benefits: 🟢 Promotes separation of concerns, enhancing maintainability and testability. Shortcomings: 🔴 Can lead to unorganized code if layers are not well-defined. 🔴 Basic modifications may require complete redeployment. 2. Microservices Architecture Pattern ☁️ Breaks down applications into small, independently deployable services focusing on specific business capabilities. Usage: 🔹 Best for businesses requiring rapid development and deployment. 🔹 Suitable for web applications with well-defined components. Benefits: 🟢 Enables flexibility in technology choices and faster release cycles. Shortcomings: 🔴 Complexity in managing inter-service communication. 🔴 Performance may suffer due to network overhead. 3. Event-Driven Architecture Pattern ⚡️ Allows components to communicate through events, promoting loose coupling and high responsiveness. Usage: 🔹 Effective for applications needing real-time updates (e.g., e-commerce platforms). Benefits: 🟢 High scalability due to decoupled components. Shortcomings: 🔴 Testing can be complex if modules are interdependent. 🔴 Error handling becomes challenging when multiple modules handle the same events. 4. Model-View-Controller (MVC) Pattern 🎨 Separates an application into three interconnected components: Model (data), View (user interface), and Controller (business logic). Usage: 🔹 Widely used in web applications where a clear separation of concerns is essential. Benefits: 🟢 Enhances modularity and facilitates code reusability. Shortcomings: 🔴 Can introduce complexity due to the need for synchronization between components. 5. Client-Server Architecture Pattern 💻 Involves a server providing services to multiple client components over a network. Usage: 🔹 Essential for networked systems like online banking or email services. Benefits: 🟢 Centralizes data management, making it easier to maintain and secure sensitive information. Shortcomings: 🔴 A single point of failure exists at the server level; if the server goes down, all clients lose access. What architecture patterns have you implemented in your projects? Share your experiences below! 💬 #SoftwareArchitecture #Development #Microservices #MVC #EventDriven #BusinessAnalysis #SystemDesign1,29%
- 11:55The Second Foundation of Business Analysis: Understand the Need, Not the Solution 🤝 After identifying the right stakeholders, the next question is simple: "What problem are we actually trying to solve?" It sounds obvious. In reality, it's one of the most common reasons projects miss the mark. Stakeholders rarely describe their need. They describe the solution they already have in mind. A practical way to spot the difference: 1️⃣ Listen beyond the request "We need a dashboard." "Add a new button." "Build a chatbot." These are proposed solutions, not necessarily the real need. 2️⃣ Ask "Why?" before discussing "How?" What business problem does this solve? What happens if we don't implement it? The answers often lead somewhere unexpected. 3️⃣ Separate outcomes from features A feature is something you build. A need is the business outcome you're trying to achieve: saving time, reducing risk, increasing revenue, or improving customer experience. 4️⃣ Challenge assumptions respectfully Good analysts don't reject ideas. They help stakeholders validate whether the proposed solution is the best way to achieve the desired outcome. AI can generate requirements. Teams can deliver features. But if the underlying need wasn't understood, the project may still fail to create business value. Business Analysis isn't about documenting what people ask for. It's about discovering what the business truly needs. BusinessAnalysis BusinessAnalyst BABOK RequirementsEngineering StakeholderManagement1,28%