Hi analysts! ⭐️
Let's continue discussing the possible algorithms of interaction between a BA and an SME👉
Let's continue discussing the possible algorithms of interaction between a BA and an SME👉
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Hi, analysts! 👋
What do you think about "Risk Identification Techniques"?
Risk identification in business analysis is a crucial step within the larger process of risk analysis and management. After all, if you don’t identify a risk, you can’t manage it effectively. According to BABOK, failing to identify risks can significantly impact the value of a solution. This process involves spotting potential risks and analyzing them to understand their potential effects on the business.
☝️ As part of risk identification in business analysis, you might explore a variety of techniques and sources:
🔸 Brainstorming:
Gathering team members to brainstorm ideas, discuss issues, and gain ground-level perspectives on project risks.
🔹 Pro: Encourages all voices.
🔹 Con: Needs a skilled facilitator.
🔸 Interviews:
Conducted when gathering a team is not feasible. Interviewing stakeholders can provide insights into perceived risks and stakeholder concerns.
🔹 Pro: One-on-one comfort.
🔹 Con: Time-intensive.
🔸 Nominal Group Technique (NGT):
A structured form of brainstorming where participants write their ideas individually before discussing as a group.
🔹 Pro: Comprehensive approach.
🔹 Con: Needs honesty and collaboration.
🔸 Delphi Technique:
A forecasting approach where experts provide estimates and judgments independently, and responses are aggregated by a facilitator.
🔹 Pro: Can be done remotely.
🔹 Con: Time-consuming.
🔸 Technology Readiness Levels (TRLs):
Originally developed by NASA, TRLs assess the maturity of technologies within a system, helping identify technology-related risks early in product development.
🔹 Pro: Early-stage insights.
🔹 Con: Tech-centric.
🔸 SWOT Analysis:
Examines strengths, weaknesses, opportunities, and threats to address potential risks.
🔹 Pro: Simple and affordable.
🔹 Con: Subjective.
In conclusion, no single method guarantees complete risk identification. Risks change and evolve as a project progresses, meaning risk identification should be an ongoing process. If not continually updated, previously identified risks can dominate the risk register, leaving emerging risks unaddressed.
What’s your preferred risk identification technique, or do you have experiences with a combination of these methods❓
What do you think about "Risk Identification Techniques"?
Risk identification in business analysis is a crucial step within the larger process of risk analysis and management. After all, if you don’t identify a risk, you can’t manage it effectively. According to BABOK, failing to identify risks can significantly impact the value of a solution. This process involves spotting potential risks and analyzing them to understand their potential effects on the business.
☝️ As part of risk identification in business analysis, you might explore a variety of techniques and sources:
🔸 Brainstorming:
Gathering team members to brainstorm ideas, discuss issues, and gain ground-level perspectives on project risks.
🔹 Pro: Encourages all voices.
🔹 Con: Needs a skilled facilitator.
🔸 Interviews:
Conducted when gathering a team is not feasible. Interviewing stakeholders can provide insights into perceived risks and stakeholder concerns.
🔹 Pro: One-on-one comfort.
🔹 Con: Time-intensive.
🔸 Nominal Group Technique (NGT):
A structured form of brainstorming where participants write their ideas individually before discussing as a group.
🔹 Pro: Comprehensive approach.
🔹 Con: Needs honesty and collaboration.
🔸 Delphi Technique:
A forecasting approach where experts provide estimates and judgments independently, and responses are aggregated by a facilitator.
🔹 Pro: Can be done remotely.
🔹 Con: Time-consuming.
🔸 Technology Readiness Levels (TRLs):
Originally developed by NASA, TRLs assess the maturity of technologies within a system, helping identify technology-related risks early in product development.
🔹 Pro: Early-stage insights.
🔹 Con: Tech-centric.
🔸 SWOT Analysis:
Examines strengths, weaknesses, opportunities, and threats to address potential risks.
🔹 Pro: Simple and affordable.
🔹 Con: Subjective.
In conclusion, no single method guarantees complete risk identification. Risks change and evolve as a project progresses, meaning risk identification should be an ongoing process. If not continually updated, previously identified risks can dominate the risk register, leaving emerging risks unaddressed.
What’s your preferred risk identification technique, or do you have experiences with a combination of these methods
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An awesome meetup on how to boost your brain will take place in Minsk soon! 🧠
On December 12, Kirill Hudoeshko (Marketing Specialist, Social Psychologist) will share knowledge of neuroplasticity – the brain's ability to change its structure and function in response to experience.
🤯 You will learn: what factors stimulate and inhibit changes in the brain, how to increase productivity, improve memory and concentration, enhance creativity, reduce stress, study and work more efficiently, and cope with psychological problems.
Click on the link to register:
Telegram:
https://people.andersenlab.com/events/december-marketing-minsk?utm_source=tg_c&utm_medium=meetup&utm_campaign=1212
LinkedIn:
https://people.andersenlab.com/events/december-marketing-minsk?utm_source=li_c&utm_medium=meetup&utm_campaign=1212
Tech Talk details:
⏰ Time: 19:00 (Minsk time)/17:00 (CET)
🕒 Duration: 1 hour
🗣️ Language: RU
📍 Offline: Andersen’s office in Minsk
💻 Online: The link to the stream will be sent to your email specified in the registration form
Looking forward to your questions, as usual!
Become a speaker
On December 12, Kirill Hudoeshko (Marketing Specialist, Social Psychologist) will share knowledge of neuroplasticity – the brain's ability to change its structure and function in response to experience.
🤯 You will learn: what factors stimulate and inhibit changes in the brain, how to increase productivity, improve memory and concentration, enhance creativity, reduce stress, study and work more efficiently, and cope with psychological problems.
Click on the link to register:
Telegram:
https://people.andersenlab.com/events/december-marketing-minsk?utm_source=tg_c&utm_medium=meetup&utm_campaign=1212
LinkedIn:
https://people.andersenlab.com/events/december-marketing-minsk?utm_source=li_c&utm_medium=meetup&utm_campaign=1212
Tech Talk details:
⏰ Time: 19:00 (Minsk time)/17:00 (CET)
🕒 Duration: 1 hour
🗣️ Language: RU
📍 Offline: Andersen’s office in Minsk
💻 Online: The link to the stream will be sent to your email specified in the registration form
Looking forward to your questions, as usual!
Become a speaker
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🚀 7 Essential Principles of Solution Architecture for Business Analysts 🚀
Designing effective solutions is about bridging business goals with technical needs, especially around non-functional requirements (NFRs) like scalability, resilience, and security. These principles help ensure systems meet not only immediate demands but are also adaptable to growth and change. If you're involved in defining or assessing solutions, mastering these architecture principles is key!
Here are 7 core principles and best practices for designing NFRs for resilient solutions:
🔹 Scalable: Systems should handle increased demand smoothly. Vertical scaling adds resources, but horizontal scaling with load balancers is ideal for flexibility and stability.
🔹 Highly Available & Resilient: NFRs for availability ensure systems stay operational despite disruptions. Build redundancy and use failover setups to recover quickly from failures.
🔹 Performant: Optimizing performance reduces delays and maximizes response times. Focus on non-blocking processing and caching to maintain quality user experiences, even under load.
🔹 Secure: Embedding security from the start is crucial. Implement encryption, RBAC, and identity verification like OAuth2 to guard data proactively.
🔹 Loosely Coupled: Modular systems simplify scaling and updating. Event-driven or asynchronous architectures (e.g., Kafka, RabbitMQ) reduce dependencies and enhance fault tolerance.
🔹 Extendable: Design for future growth. Apply the open-closed principle and create backward-compatible APIs for seamless feature addition.
🔹 Reusable: Create reusable components for efficiency. Using shared libraries or components and adhering to domain-driven design (DDD) improves consistency and maintainability.
By aligning with these principles, we can support solutions that deliver value today and adapt to tomorrow’s demands! 🎯
#cheatsheet
Designing effective solutions is about bridging business goals with technical needs, especially around non-functional requirements (NFRs) like scalability, resilience, and security. These principles help ensure systems meet not only immediate demands but are also adaptable to growth and change. If you're involved in defining or assessing solutions, mastering these architecture principles is key!
Here are 7 core principles and best practices for designing NFRs for resilient solutions:
🔹 Scalable: Systems should handle increased demand smoothly. Vertical scaling adds resources, but horizontal scaling with load balancers is ideal for flexibility and stability.
🔹 Highly Available & Resilient: NFRs for availability ensure systems stay operational despite disruptions. Build redundancy and use failover setups to recover quickly from failures.
🔹 Performant: Optimizing performance reduces delays and maximizes response times. Focus on non-blocking processing and caching to maintain quality user experiences, even under load.
🔹 Secure: Embedding security from the start is crucial. Implement encryption, RBAC, and identity verification like OAuth2 to guard data proactively.
🔹 Loosely Coupled: Modular systems simplify scaling and updating. Event-driven or asynchronous architectures (e.g., Kafka, RabbitMQ) reduce dependencies and enhance fault tolerance.
🔹 Extendable: Design for future growth. Apply the open-closed principle and create backward-compatible APIs for seamless feature addition.
🔹 Reusable: Create reusable components for efficiency. Using shared libraries or components and adhering to domain-driven design (DDD) improves consistency and maintainability.
By aligning with these principles, we can support solutions that deliver value today and adapt to tomorrow’s demands! 🎯
#cheatsheet
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Hi, analysts!
🌟 Are You Thinking Like a Senior BA or Stuck in a Junior BA Mindset? Let's discuss!🌟
In my opinion, the difference between a Junior and Senior BA isn’t just about years on the job — it’s about mindset, approach, and skill development. Senior BAs anticipate challenges, ask strategic questions, and pivot with ease. While Junior BAs usually focus on tasks, Senior BAs focus on delivering outcomes.
💬 What’s your take on the difference between Junior and Senior BAs? Share in the comments below! 👇
P.S.: No matter where you are in your career, there’s always room to grow. Start shifting your perspective today, and take your business analysis skills to the next level!🚀
🌟 Are You Thinking Like a Senior BA or Stuck in a Junior BA Mindset? Let's discuss!🌟
In my opinion, the difference between a Junior and Senior BA isn’t just about years on the job — it’s about mindset, approach, and skill development. Senior BAs anticipate challenges, ask strategic questions, and pivot with ease. While Junior BAs usually focus on tasks, Senior BAs focus on delivering outcomes.
💬 What’s your take on the difference between Junior and Senior BAs? Share in the comments below! 👇
P.S.: No matter where you are in your career, there’s always room to grow. Start shifting your perspective today, and take your business analysis skills to the next level!🚀
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How often do you think about changing your role?🤔
The BA segment is full of opportunities for people with different preferences!
🔸The evolution of Business Analysis professional into expanding roles depends on a combination of digital skills, business acumen, and targeted knowledge to drive better business outcomes across all industries.
🔸The growth of the Business Analysis discipline and practice is expanding across the globe. As a result, the demand for business analysis related programs and courses is also growing.
The BA segment is full of opportunities for people with different preferences!
🔸The evolution of Business Analysis professional into expanding roles depends on a combination of digital skills, business acumen, and targeted knowledge to drive better business outcomes across all industries.
🔸The growth of the Business Analysis discipline and practice is expanding across the globe. As a result, the demand for business analysis related programs and courses is also growing.
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Hey, analysts! 👋
Let’s dive into a question every app developer and product owner asks: How do we make money with apps?
Here are the most popular app monetization strategies to consider:
1. Freemium Model 🆓💵
Offer a free version with basic features.
Monetize through premium features, subnoscriptions, or content.
Example: Spotify, LinkedIn.
2. In-App Purchases 🛒
Allow users to buy virtual goods, upgrades, or additional content.
Widely used in games, fitness apps, and e-learning platforms.
Example: Candy Crush, Duolingo.
3. Advertising 📢
Show ads to users in exchange for free access to the app.
Common formats: banners, interstitials, rewarded ads, and native ads.
Example: YouTube, free mobile games.
4. Subnoscriptions 🔄
Charge users a recurring fee for access to premium features or content.
Perfect for apps with ongoing value, like media, fitness, or productivity tools.
Example: Netflix, Notion.
5. Paid Apps 💳
Charge users upfront to download the app.
Less common but effective for niche markets or high-value tools.
Example: Procreate, certain photo editing apps.
6. Partnerships and Sponsorships 🤝
Collaborate with brands to integrate their content or services.
Useful for apps with a specific target audience.
Example: Fitness apps partnering with health brands.
7. Data Monetization 📊
Collect and sell anonymized data (within legal and ethical guidelines).
Works best with apps that gather meaningful, non-sensitive user data.
Example: Traffic or trend analysis platforms.
💡 Pro Tip: The best monetization strategy depends on your app’s target audience, purpose, and usage patterns. Don’t forget to consider user experience—balancing revenue and satisfaction is key!
What strategies do you think work best for app monetization? Let’s discuss in the comments! 💬👇
Let’s dive into a question every app developer and product owner asks: How do we make money with apps?
Here are the most popular app monetization strategies to consider:
1. Freemium Model 🆓💵
Offer a free version with basic features.
Monetize through premium features, subnoscriptions, or content.
Example: Spotify, LinkedIn.
2. In-App Purchases 🛒
Allow users to buy virtual goods, upgrades, or additional content.
Widely used in games, fitness apps, and e-learning platforms.
Example: Candy Crush, Duolingo.
3. Advertising 📢
Show ads to users in exchange for free access to the app.
Common formats: banners, interstitials, rewarded ads, and native ads.
Example: YouTube, free mobile games.
4. Subnoscriptions 🔄
Charge users a recurring fee for access to premium features or content.
Perfect for apps with ongoing value, like media, fitness, or productivity tools.
Example: Netflix, Notion.
5. Paid Apps 💳
Charge users upfront to download the app.
Less common but effective for niche markets or high-value tools.
Example: Procreate, certain photo editing apps.
6. Partnerships and Sponsorships 🤝
Collaborate with brands to integrate their content or services.
Useful for apps with a specific target audience.
Example: Fitness apps partnering with health brands.
7. Data Monetization 📊
Collect and sell anonymized data (within legal and ethical guidelines).
Works best with apps that gather meaningful, non-sensitive user data.
Example: Traffic or trend analysis platforms.
💡 Pro Tip: The best monetization strategy depends on your app’s target audience, purpose, and usage patterns. Don’t forget to consider user experience—balancing revenue and satisfaction is key!
What strategies do you think work best for app monetization? Let’s discuss in the comments! 💬👇
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Hi, analysts!👋
I have an interesting topic for you today - What can an Analyst do during the Support Phase?🙌
The support phase is an excellent opportunity to strengthen relationships with stakeholders and users by showing responsiveness and value-added improvements.
What’s your go-to activity during the support phase? Let’s share ideas in the comments! 💬👇
I have an interesting topic for you today - What can an Analyst do during the Support Phase?
The support phase is an excellent opportunity to strengthen relationships with stakeholders and users by showing responsiveness and value-added improvements.
What’s your go-to activity during the support phase? Let’s share ideas in the comments! 💬👇
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Hi, analysts! 👋
Today, let’s talk about one of the most crucial tools in a business analyst’s toolkit — the Traceability Matrix. It’s not just a table but your gateway to project success! 🚀
What is a Traceability Matrix?
It’s a tool that connects requirements to test cases, user scenarios, development tasks, and other project elements. It helps to:
✅ Ensure complete requirement coverage.
✅ Identify gaps and inconsistencies.
✅ Track how every business objective is linked to the delivered functionality.
Why is it essential for Business Analysts?
The Traceability Matrix provides clarity and control. It ensures that:
🛡 Nothing falls through the cracks during the project lifecycle.
🔍 Changes to requirements are easily traceable and manageable.
📈 Stakeholders see the direct value of each implemented feature.
How to create it effectively?
🔸Start with a simple spreadsheet or use tools like JIRA, Confluence, or specialized solutions (e.g., ReqView).
🔸Include columns for Requirement ID, Denoscription, Linked Test Cases, Development Tasks, and Status.
🔸Keep it up-to-date as the project evolves.
💡 Pro Tip: Regularly review the matrix with your team to keep everyone aligned and avoid misunderstandings.
💡 Pro Tip 2: Here's the link for you to download a comprehencive template of Traceability Matrix.
Are you using Traceability Matrices in your projects? Share your tips and insights below! 💬👇
Today, let’s talk about one of the most crucial tools in a business analyst’s toolkit — the Traceability Matrix. It’s not just a table but your gateway to project success! 🚀
What is a Traceability Matrix?
It’s a tool that connects requirements to test cases, user scenarios, development tasks, and other project elements. It helps to:
✅ Ensure complete requirement coverage.
✅ Identify gaps and inconsistencies.
✅ Track how every business objective is linked to the delivered functionality.
Why is it essential for Business Analysts?
The Traceability Matrix provides clarity and control. It ensures that:
🛡 Nothing falls through the cracks during the project lifecycle.
🔍 Changes to requirements are easily traceable and manageable.
📈 Stakeholders see the direct value of each implemented feature.
How to create it effectively?
🔸Start with a simple spreadsheet or use tools like JIRA, Confluence, or specialized solutions (e.g., ReqView).
🔸Include columns for Requirement ID, Denoscription, Linked Test Cases, Development Tasks, and Status.
🔸Keep it up-to-date as the project evolves.
💡 Pro Tip: Regularly review the matrix with your team to keep everyone aligned and avoid misunderstandings.
💡 Pro Tip 2: Here's the link for you to download a comprehencive template of Traceability Matrix.
Are you using Traceability Matrices in your projects? Share your tips and insights below! 💬👇
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ProjectManager
Requirements Traceability Matrix Template
A requirements traceability matrix helps list, test and track requirements. Use our free requirement traceability matrix template for Excel.
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Hi, analysts!👋
I have handy #cheatsheet for you today!
Here’s a visual breakdown of the AI Universe, showcasing its layered architecture!🚀
This layered universe serves as a roadmap for anyone navigating the world of AI, from enthusiasts to seasoned professionals.
I have handy #cheatsheet for you today!
Here’s a visual breakdown of the AI Universe, showcasing its layered architecture!🚀
This layered universe serves as a roadmap for anyone navigating the world of AI, from enthusiasts to seasoned professionals.
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