• Thinking Hats: A Tool for Creative Thinking

    In today’s fast-paced world, where businesses are faced with constant challenges and opportunities, creative thinking has become a critical skill. However, coming up with innovative ideas can be a daunting task, especially when working in a team setting where everyone has their own opinions and ideas. This is where “Thinking Hats” can come in handy.

    Thinking Hats is a tool for creative thinking that was developed by Edward de Bono, a British physician, and psychologist. The concept is based on the idea of different “hats” that one can wear to approach a problem from different angles. Each hat represents a different perspective, and by wearing different hats, one can explore different ways of thinking about a problem or situation.

    There are six different hats in the Thinking Hats tool:

    1. White Hat: This hat represents facts and data. It encourages objective and neutral thinking, where the focus is on gathering information.
    2. Red Hat: The red hat represents emotions and feelings. It encourages subjective thinking, where the focus is on expressing one’s feelings and intuition.
    3. Black Hat: The black hat represents critical thinking. It encourages a cautious and skeptical approach, where the focus is on identifying potential problems and risks.
    4. Yellow Hat: The yellow hat represents positive thinking. It encourages optimistic thinking, where the focus is on identifying potential opportunities and benefits.
    5. Green Hat: The green hat represents creative thinking. It encourages imaginative and free-flowing thinking, where the focus is on generating new ideas and possibilities.
    6. Blue Hat: The blue hat represents meta-thinking. It encourages reflective thinking, where the focus is on organizing and summarizing the different perspectives and ideas generated by wearing the other hats.

    By using the different hats, individuals or teams can approach a problem or situation from multiple angles, and consider different aspects of the problem. This can help to break down mental barriers, and generate fresh and creative ideas. The Thinking Hats tool is often used in group brainstorming sessions or problem-solving meetings, where each participant can wear a different hat to contribute to the discussion.

    In conclusion, the Thinking Hats tool is a useful and practical tool for creative thinking. By wearing different hats and exploring different perspectives, individuals or teams can generate fresh ideas and insights, and approach problems with a more comprehensive and nuanced view. With practice, the tool can help to develop critical thinking, improve communication, and enhance creativity in various aspects of life, from personal to professional settings.

  • Collaboration – Getting Things Done. An approach for Agile Management and Agile Developer Synchronicity.

    When will it get done ? A common question asked to every devteam/developer.

    In this article, we’ll be discovering how to shift from a top-down mentality to an inclusive approach while asking questions in Agile Project progress.

    The completion of a product developementg depends on the complexity of the project and the resources available. A developer may be able to estimate a timeline based on their own experience and research but it is important to remember that any timeline should be seen as an estimate not a guarantee. There are many potential factors which could affect how long it takes including unanticipated issues, changes in requirements or unexpected delays. In some cases, a project can take longer than expected due to external factors beyond the developer’s control such as procurement processes or slow delivery times for components. It is also worth noting that developing software projects is not always linear – there can be periods of intense activity followed by phases where little progress appears to have been made due to debugging and quality assurance processes. As such, it is important to remain flexible and be prepared to adjust your timeline as needed. Ultimately, no one can guarantee a fixed timeline for software development – it is best viewed as an ongoing process with each step providing more information that can inform the next steps in the development journey. With clear communication between all involved parties, realistic expectations, and constant monitoring of progress against objectives, a successful project outcome is achievable.

    Thats where Agile ways of product development plays a vital role in the development process. Agile helps in planning for the project and give more accurate timeline estimates to the developers based on their experience, research and current progress of the project. Agile also gives more clarity between all involved parties such as stakeholders so they can collaborate better, plan better, track better and monitor progress better.

    Agile product development methodology allows developers to build features incrementally over a series of sprints which means that any delays or unexpected issues are easier to manage since there is less risk associated with them. By breaking down the software development into smaller chunks, developers can see what works quickly and make changes before too much time or money has been invested in a particular feature. This way, it is possible to get feedback at an early stage.

    Estimating the time and resources required for an Agile project can be challenging, as Agile projects are typically characterized by their flexibility and adaptive nature. However, here are a few tips for estimating Agile projects:

    1. Start with user stories: User stories are short, simple descriptions of a feature or functionality that a user needs. They are a great starting point for estimating Agile projects as they provide a clear understanding of the requirements and scope of the project.
    2. Use relative estimation techniques: Relative estimation techniques such as story points or t-shirt sizing can be used to compare the size and complexity of different user stories and prioritize them accordingly.
    3. Establish a baseline: Establish a baseline by using historical data to determine the average velocity (the amount of work a team can complete in a sprint) of the team. This baseline can then be used to make informed estimates for future sprints.
    4. Break down work into smaller chunks: Breaking down work into smaller, more manageable chunks, such as tasks or subtasks, makes it easier to estimate the time and resources required for each item.
    5. Plan in sprints: Agile projects are typically executed in sprints, which are short time-boxes of 2-4 weeks. Use sprint planning to estimate the work that can be completed in each sprint and adjust the estimate as needed.
    6. Involve the team: Involve the team in the estimation process and leverage their expertise and knowledge to arrive at accurate estimates. This can help to build a shared understanding of the project and improve the accuracy of the estimates.
    7. Be prepared to adjust: Agile projects are characterized by their adaptability and flexibility, so be prepared to adjust your estimates as the project progresses and new information becomes available.

    Remember, the goal of estimation in Agile projects is to provide a rough order of magnitude, rather than a precise prediction of the time and resources required. The key is to be flexible and adaptive and to regularly reassess and adjust the estimates as needed.

    Thats Great. Our prjects has been running for quite a while now, say 12 sprints, should we create a minimal story goal for the developer like least story point that a developer should take up ? so management can see if they are being productive enough?

    The goal of monitoring developer productivity in a Scrum team is to provide valuable insights into the team’s performance and to make data-driven decisions that will improve the team’s efficiency and effectiveness. The key is to regularly assess and adjust the team’s processes to ensure that the project is progressing smoothly and that the developers are able to deliver high-quality work. Considering the contribution that an individual makes to the Scrum Team varies and its should not be used to compare against teams but to retrospect and refine the overall teams developement efforts. The number of story points that a developer should take during a 2-week sprint can vary depending on a number of factors, such as the size of the team, the complexity of the work, and the individual developer’s capacity and capabilities.

    In general, a developer should aim to take on a workload that is challenging but manageable, and that allows them to deliver a high-quality output. The exact number of story points that constitutes a “challenging but manageable” workload will depend on the individual developer and the specifics of the project.

    In some cases, a single developer may be able to handle 5-7 story points in a 2-week sprint, while in other cases, they may only be able to handle 2-3 story points. The important thing is to ensure that the workload is sustainable and that the developer has the capacity to deliver high-quality work.

    It’s also important to keep in mind that Agile projects are characterized by their adaptability and flexibility, so the number of story points that a developer should take on during a 2-week sprint may change as the project progresses and new information becomes available. The team should regularly reassess and adjust the workload as needed to ensure that the project is progressing smoothly and that the developers are able to deliver high-quality work.

    Lets have both perspectives ie: Management Side and Developer Side listed.

    Effective Monitoring

    Monitoring developer productivity in a Scrum team is an important aspect of ensuring that the project is progressing smoothly and that the team is delivering high-quality work. Here are a few tips for monitoring developer productivity in a Scrum team:

    1. Use sprint retrospectives: Sprint retrospectives provide an opportunity for the team to reflect on the previous sprint and identify areas for improvement. The team can discuss the workload and capacity of individual developers during the sprint retrospective and make adjustments as needed.
    2. Track team velocity: Team velocity is a measure of the amount of work the team is able to complete in a sprint. Monitoring the team’s velocity over time can provide valuable insights into the team’s productivity and help identify areas for improvement.
    3. Monitor work completion: Monitoring the completion of work items, such as user stories and tasks, can provide a clear picture of the team’s progress and help to identify areas where individual developers may be struggling.
    4. Use burn-down charts: Burn-down charts provide a visual representation of the amount of work remaining in a sprint. Monitoring the burn-down chart can help to identify areas where the team is struggling to complete work and make adjustments as needed.
    5. Encourage regular communication: Encouraging regular communication between team members and between the team and the product owner can help to identify areas where individual developers may be struggling and ensure that any issues are addressed in a timely manner.
    6. Use agile metrics: Agile metrics, such as lead time and cycle time, can provide valuable insights into the efficiency and effectiveness of the team’s processes and help to identify areas for improvement.

    Personal Productivity

    Being productive and continuously improving as a developer in an Agile team is a continuous process that requires focus, dedication, and a willingness to continuously learn and adapt. By regularly assessing your performance and seeking feedback from your team, you can ensure that you are making progress and continuously improving your skills and abilities.

    1. Prioritize your workload: Work with your team to prioritize your tasks and ensure that you are focusing on the most important tasks first. This will help you to stay focused and ensure that you are delivering high-quality work.
    2. Set clear goals: Set clear and achievable goals for yourself, both short-term and long-term, and regularly track your progress towards these goals. This will help you to stay focused and motivated and ensure that you are continuously improving.
    3. Regularly reflect on your performance: Regularly reflect on your performance and identify areas where you can improve. This could be in terms of your technical skills, time management, or other areas. Be honest with yourself and seek feedback from your team to help identify areas for improvement.
    4. Continuously learn: Stay up-to-date with the latest developments in your field and continuously learn new skills and technologies. This will help you to maintain your edge and remain competitive in an ever-changing industry.
    5. Collaborate with your team: Work closely with your team and actively participate in team meetings and discussions. This will help you to build strong relationships with your team members and ensure that you are working effectively as a team.
    6. Practice agile practices: Adhere to Agile practices such as Scrum, Kanban, or others, and actively participate in Agile ceremonies such as daily stand-up meetings, sprint retrospectives, and demos. This will help you to work more effectively and efficiently as part of an Agile team.

    When Management and Development Teams are harmonized in the approaches of collaborative development and progress can be understood via the following questions

    1. What is the status of the work? What tasks have been completed and what tasks are still in progress?
    2. What challenges have you encountered during the sprint? How have you addressed these challenges?
    3. How confident are you in completing the work items within the sprint? What risks or dependencies have you identified that could impact the team’s ability to deliver?
    4. How have you been communicating with stakeholders and ensuring that they are informed of the team’s progress?
    5. How has the team been working together and collaborating to deliver high-quality work?

    These types of questions provide the management with a more holistic view of the team’s progress and the challenges that they are facing. They also encourage open and honest communication between the team and management and help to build a culture of trust and collaboration. By focusing on the progress of the work and the challenges that the team is facing, management can provide support and guidance to the team and ensure that the project is progressing smoothly.

  • Agile Fluency Model

    Through the Agile Fluency Model framework, you can monitor and refine your team’s agility and performance with each new stage of development. As they gain greater comprehension, proficiency, and productivity – your team will thrive due to increased understanding, efficiency, and effectiveness. Taking the time and dedicating effort to this model is absolutely worthwhile! By utilizing it, teams can assess their agility against each stage to pinpoint areas of improvement needed for achieving higher fluency with Agile. Remember that capability levels may vary between stages within a single team.

    James Shore and Diana Larson created the Agile Fluency Model; a comprehensive system for understanding and strengthening your software team’s capability in agile. This model emphasizes that all teams possess distinct levels of agility which they can continually strive to reach. With this concept, you’ll be able to determine where your group stands concerning ability while always having an attainable aim ahead.

    For teams just beginning their Agile journey, this stage emphasizes understanding the fundamentals of Agile principles and practices.

    1. Start Stage: To get familiar with the basics, teams should focus on learning about Agile values, team roles and decision-making processes. This stage is all about planning and gathering the necessary information to set up your team for success. Explore Stage: In this stage, you’ll be able to start experimenting with different practices while continuing to build on the foundational
    2. Struggling Stage: As teams become more familiar with Agile principles and practices, they may hit some roadblocks. This is the stage when teams need to regroup and reassess their approach, tweaking processes where necessary and aiming for stability in the team dynamics. Competency Stage: At this point, the team should be comfortable enough with their current set of
    3. Fluent Stage: For teams that have now achieved a degree of success with Agile, this stage is all about expanding the reach and application of their existing processes. Teams should look to continuously improve and refine the existing methods.
    4. Advanced Stage: For teams that have reached a high level of fluency in Agile, this stage is all about further refining and improving their existing processes. Teams should focus on continuing to increase the reach and effectiveness of their agile practices while being mindful of industry trends and emerging technologies. By focusing on continuous improvement and keeping up with the latest developments, teams can ensure they.

    It is difficult to provide an accurate estimate of the percentage of teams that are able to reach the Advanced level of the Agile Fluency Model, as there are many variables that can influence a team’s ability to achieve this level of proficiency. Factors that can impact a team’s ability to reach the Advanced level of the Agile Fluency Model include:

    • The team’s level of experience and familiarity with Agile practices
    • The team’s ability to adapt and continuously improve their practices
    • The level of support and guidance that the team receives from leadership and management
    • The level of buy-in and commitment from team members to the Agile process
    • The team’s ability to effectively collaborate and communicate with stakeholders

    There are various metrics that can be used to evaluate a team’s level of fluency with the Agile Fluency Model. Some possible metrics that can be used to assess a team’s progress through the model include:

    1. Time to deliver value: The amount of time it takes for a team to deliver value to their customers is a key indicator of their level of fluency with Agile practices. Teams that are able to deliver value quickly and consistently are likely to be more fluent in their use of Agile practices.
    2. Quality of deliverables: The quality of the deliverables produced by a team is another key metric for evaluating their level of fluency. Teams that are able to produce high-quality deliverables on a consistent basis are likely to be more fluent in their use of Agile practices.
    3. Team satisfaction: The level of satisfaction among team members can be a good indicator of a team’s level of fluency. Teams that are satisfied with their work and the process they are using are more likely to be fluent in their use of Agile practices.
    4. Stakeholder satisfaction: The level of satisfaction among stakeholders, such as customers and business partners, can also be a good metric for evaluating a team’s level of fluency. Teams that are able to consistently meet the needs and expectations of their stakeholders are likely to be more fluent in their use of Agile practices.
    5. Process improvement: A team’s ability to continuously improve their process and adapt to changing circumstances is another key indicator of their level of fluency with Agile practices. Teams that are able to consistently improve their process are likely to be more fluent in their use of Agile practices.

  • R&D for Saner Minds.

    An R&D process can bring a wealth of opportunities to businesses, industries or even nations – as it facilitates the creation and development of innovative technology that gives them an edge. Despite its potential rewards, however, technological innovation is intricate and perilous. Many projects do not succeed in bringing forth the anticipated financial returns; likewise, successful projects may be required to shoulder the costs of unsuccessful undertakings that have been cut short by management. Despite its occasional drawbacks, investing in research and development is still worthwhile. Through the applied process of researching, desired insights can be unlocked that will help achieve organizational goals.

    By recognizing that organizations are merely a conglomeration of individuals, I am eager to emphasize the necessity of R&D on an individual level in order to boost their capacity for innovation. By removing any potential obstacles and achieving objectives, we could achieve remarkable success.

    On this blog, we are leveraging Resiliency and Discipline to help individuals achieve success. These two R&D techniques have been chosen for the purpose of empowering people toward greatness.

    What is Resilience : The ability to recover from setbacks, adapt well to change, and keep going in the face of adversity.

    What is the outcome of practicing Outcome : Keeps you track of your emotional well-being. 

    Developing resilience is the key to adapting and recovering from any unfortunate situation, regardless of how hard it may be. If you want to work on building your own resilience, here are some simple tips that can help:

    1. Elevate your gratitude: Instead of focusing on negative events, practice expressing thankfulness for the things you have in life. Start by keeping a journal to write down all that you’re thankful for each day. This can help cultivate a more optimistic outlook as well as create inner strength and resiliency.
    2. Embrace a growth mindset: Believing that you can thrive through difficult situations and learn from them is essential to processing disappointments as valuable opportunities instead of devastating failures. A growth mindset gives you the confidence, courage, and resilience to continue trying despite any adversity or setbacks.
    3. Surround yourself with social support / (Satsang): Developing close bonds with reliable friends and family can give you a sense of connection and aid in dealing with trying circumstances. Take the initiative to connect with people who care about you when facing difficulty.
    4. Combat stress holistically: Stress is a normal reaction to difficult situations, and it’s essential to battle it in healthy ways. Try out exercise, meditation, or conversing with an understanding friend or expert for relief from anxiety.
    5. Cultivating mindfulness: Pay attention to the current moment, without judgment. Mindfulness can help you keep your feet on the ground and provide a better way of handling challenging feelings or experiences.
    6. It is important to prioritize your physical health: Getting adequate rest, consuming nutritious meals, and exercising regularly can all help you protect yourself against stress and other obstacles.
    7. Establish achievable objectives: Establishing attainable goals and expectations for yourself can assist you in feeling more organized and less overwhelmed. Think about breaking down bigger goals into miniature, manageable actions.

    What is Discipline : Having the capacity to accomplish what you ought to be executing.

    What is the outcome of practicing Discipline : Allows you to keep focused on your Goals.

    Gaining self-discipline requires the fortitude to act in accordance with what needs to be done, even when doing so is challenging or not something you desire. Here are several approaches that will assist you on your journey toward becoming more disciplined:

    1. Define your objectives: Setting a clear purpose and knowing precisely what you want to achieve is crucial to staying motivated. Craft SMART goals, which stands for Specific, Measurable, Achievable, Relevant and Time-bound in order to help direct your efforts towards success!
    2. Chart a course: After you have identified your goals, create a roadmap for success. This could mean that you break down each of your objectives into smaller achievable steps and assign deadlines to complete them by. With this plan in hand, there is no telling how far you can go!
    3. Monitor your development: Recording and monitoring your journey can help you stay inspired and focused. Perhaps consider employing a planner or diary to document your progress, as well as any obstacles that come up during the process.
    4. Take responsibility: Find someone to whom you can be answerable and who will help keep your ambitions in check. For further motivation, consider setting a punishment for yourself if you fail to reach your objectives, such as not being allowed to watch the show of your choice until all tasks are complete.
    5. Keep your eyes on the prize: It can be easy to get sidetracked, particularly when tackling a task that isn’t pleasurable or is hard. Try and reduce distractions as much as you possibly can and stay focused on what it is you are striving for.
    6. Tap into your incentive: Uncovering what motivates you can be a useful tool to help keep yourself on track. For instance, if you have an end goal in mind – like saving up for the down payment on a house – then that purpose of owning your own home could spur you onward and give you determination.
    7. Congratulate yourself: Celebrating your successes can be invigorating and help you stay focused. Give yourself a treat, like your favorite meal or activity when you hit key goals on the way to meeting them! Rewarding yourself for accomplishments will motivate you to continue striving forward.

    By devoting a portion of each day to Resilience &Discipline, individuals can nurture both their mental well-being and physical balance.

  • Continues Improvement Deming’s Way

    W. Edwards Deming was an American statistician, management consultant, and professor who made significant contributions to the field of quality management. He is perhaps best known for his work in Japan, where he helped to rebuild the country’s industry after World War II by teaching Japanese business leaders about statistical quality control and the importance of continuous improvement.

    Deming’s philosophy of management, known as the Deming cycle or PDCA (plan-do-check-act), emphasizes the importance of continuous improvement and the role of management in creating a culture of quality. He believed that management was responsible for creating an environment in which employees could succeed, and that this could be achieved through the use of statistical tools, ongoing training, and the establishment of clear goals and objectives.

    Deming’s 14 points for management, which were outlined in his book “Out of the Crisis,” provide a framework for implementing his philosophy in a business or organization. These points include:

    1. Create constancy of purpose for improving products and services.
    2. Adopt a new philosophy.
    3. Cease dependence on inspection to achieve quality.
    4. End the practice of awarding business on the basis of price tag.
    5. Constantly and forever improve the system of production and service.
    6. Institute training on the job.
    7. Institute leadership.
    8. Drive out fear.
    9. Break down barriers between staff areas.
    10. Eliminate slogans, exhortations, and targets for the work force.
    11. Eliminate numerical quotas for the work force and numerical goals for management.
    12. Remove barriers that rob people of their pride of workmanship.
    13. Institute a vigorous program of education and self-improvement.
    14. Put everyone in the company to work to accomplish the transformation.

    There are several techniques and tools that are associated with the work of W. Edwards Deming and his philosophy of management. These techniques are often used to implement continuous improvement and to drive quality in organizations. Some of the most commonly used Deming techniques include:

    1. PDCA (Plan-Do-Check-Act): The PDCA cycle, also known as the Deming cycle, is a four-step process for continuous improvement that involves planning a change, implementing it, checking the results, and then acting on those results. This cycle can be used to improve any aspect of an organization, from processes and products to services and systems.
    2. Statistical process control (SPC): Deming believed that statistical tools were essential for understanding and improving processes in an organization. SPC involves collecting data on a process and using statistical techniques to analyze it, identify patterns and trends, and identify opportunities for improvement.
    3. Process mapping: Process mapping is a tool used to visualize and understand the steps involved in a process. It involves creating a flowchart or diagram that shows the inputs, outputs, and tasks involved in a process, and can be used to identify bottlenecks, inefficiencies, and areas for improvement.
    4. Employee involvement: Deming emphasized the importance of involving employees in the continuous improvement process, as they are often the ones who are best positioned to identify problems and suggest solutions. Techniques such as quality circles, kaizen events, and suggestion systems can be used to involve employees in the improvement process and tap into their knowledge and expertise.
  • CI / CD Techniques


    Continuous integration (CI) is a software development practice in which developers regularly merge their code changes into a central repository, and automated builds and tests are run on the code. The goal of CI is to identify problems early in the development process, so that they can be addressed as quickly as possible. There are a number of techniques that can be used to support CI:

    1. Automated builds: Automated builds are processes that compile and package code into executable form, often as part of a CI pipeline.
    2. Automated testing: Automated testing involves running a suite of tests on the code to ensure that it is functioning correctly. This can include unit tests, integration tests, and acceptance tests.
    3. Code reviews: Code reviews involve other developers reviewing code changes before they are merged into the main repository. This can help to identify problems and improve the overall quality of the code.
    4. Continuous deployment: Continuous deployment involves automatically deploying code changes to production environments as soon as they are merged into the main repository. This can help to ensure that new features and updates are delivered to users quickly and reliably.
    5. Continuous delivery: Continuous delivery is similar to continuous deployment, but involves a manual step to confirm that the code is ready for deployment. This can provide an extra layer of control and allow for more careful testing before new code is deployed.


    Continuous Deployment (CD) is a software development practice in which code changes are automatically built, tested, and deployed to production environments. This can help to speed up the delivery of new features and updates to users, and can also reduce the risk of errors caused by manual deployment processes.

    There are several techniques that can be used to support continuous deployment:

    1. Automated builds and testing: Code changes should be automatically built and tested as part of the deployment process to ensure that they are functioning correctly. This can include unit tests, integration tests, and acceptance tests.
    2. Deployment pipelines: Deployment pipelines are automated processes that move code changes through various stages, such as build, test, and deployment. This can help to ensure that code is thoroughly tested before it is deployed to production environments.
    3. Feature flags: Feature flags allow developers to release new code to a subset of users, rather than to all users at once. This can help to mitigate the risk of introducing new features, and can allow for more careful testing and rollback if necessary.
    4. Rollback mechanisms: Rollback mechanisms allow for the quick and easy undoing of code changes if necessary. This can help to ensure that deployments can be quickly reversed if they cause problems.
    5. Monitoring: Monitoring systems can be used to track the performance and stability of deployed code. This can help to identify problems quickly and allow for corrective action to be taken.

    Bonus :

    To set up a CI pipeline in Azure DevOps, follow these steps:

    1. Navigate to your Azure DevOps project and select the “Pipelines” option in the left menu.
    2. Click the “New pipeline” button to create a new pipeline.
    3. Select the source code repository that contains your code. If you are using Git, you will need to authorize Azure DevOps to access your repository.
    4. Select a template for your pipeline, or choose “Starter pipeline” to create a blank pipeline.
    5. Configure the steps in your pipeline by adding tasks to the pipeline. There are many tasks available in Azure DevOps, including tasks for building code, running tests, and deploying code.
    6. Save and run your pipeline to build and test your code.
    7. Set up automatic triggering for your pipeline by configuring the “Triggers” tab in the pipeline editor. You can set the pipeline to run automatically whenever code is pushed to the repository, or you can configure a custom trigger.
    8. Set up notifications for your pipeline by configuring the “Notifications” tab in the pipeline editor. You can configure email or Slack notifications to be sent whenever the pipeline succeeds or fails.

  • Test Driven Development on Data Products

    Test-driven development (TDD) is a software development process in which tests are written for a piece of code before the code itself is written. The tests are used to define the desired functionality of the code, and to ensure that it is working correctly.

    By following a TDD approach, it is possible to build a data product module that is robust, reliable, and easy to maintain. This can help to ensure that the data product as a whole is of high quality and meets the needs of its users. Following steps are to be followed while creating TDD.

    1. Define the desired functionality: The first step in TDD is to define the desired functionality of the data product module. For example, the module might be expected to process a dataset, identify trends, and generate recommendations based on these trends.
    2. Write tests for the desired functionality: Once the desired functionality has been defined, the next step is to write tests that will validate that the module meets these requirements. These tests might include verifying that the module is correctly processing the dataset, identifying trends, and generating recommendations.
    3. Write the module code: With the tests in place, the next step is to write the actual code for the module. This code should be written in a way that ensures that it passes all of the tests that have been written.
    4. Run the tests: Once the module code has been written, the tests can be run to ensure that the module is working correctly. If any of the tests fail, it indicates that there is a problem with the code, and it will need to be revised until all of the tests pass.
    5. Integrate the module into the data product: Once the module has been tested and is working correctly, it can be integrated into the larger data product. This process may involve additional testing to ensure that the module is working correctly within the context of the overall product.

    eg : Here is an example of how a recommendation generator could be implemented in Python, with unit tests to validate its functionality:

    import unittest
    class RecommendationGenerator:
        def __init__(self, data):
   = data
        def generate_recommendations(self, user_id):
            # Code to process data and generate recommendations goes here
            recommendations = []
            return recommendations
    class TestRecommendationGenerator(unittest.TestCase):
        def setUp(self):
   = [
                {"user_id": 1, "item_id": 100, "rating": 5},
                {"user_id": 1, "item_id": 101, "rating": 4},
                {"user_id": 2, "item_id": 100, "rating": 3},
                {"user_id": 2, "item_id": 101, "rating": 2},
            self.recommendation_generator = RecommendationGenerator(
        def test_generate_recommendations(self):
            recommendations = self.recommendation_generator.generate_recommendations(1)
            self.assertEqual(recommendations, [])  # No recommendations yet, as the code has not been implemented
    if __name__ == '__main__':

    In this example, the RecommendationGenerator class takes in a dataset and has a method called generate_recommendations that generates recommendations for a given user. The TestRecommendationGenerator class is a unit test class that tests the generate_recommendations method using a sample dataset. The unit test will fail until the code to generate recommendations has been implemented in the `generate_recommend

  • On Becoming an Agile Coach

    What does it take to be an Agile Coach?

    Should I become an Agile Coach?

    How can I improve as a coach?

    I have discovered, through personal experience, that if you want to help people solve problems and find efficient solutions, then becoming an Agile Coach is a great career move.

    As one of these agile coaches, we would help teams become self-organizing; adopting the most productive way to work and removing any roadblocks preventing their success!. Great! So, what skills do you need to be an Agile Coach?

    In order to be an effective agile coach, you need to have a deep understanding of what it means to be agile. This means more than just reading about it or attending a couple of seminars. You need to live and breathe the agile philosophy in order to really help your team achieve success. Once you have this understanding, you need to be able to communicate it to your team in a way that will resonate with them. This means being able to understand their individual needs and tailor your coaching style accordingly. You also need to have a good understanding of the various agile frameworks out there, as well as how to properly implement them. This will ensure that you’re able to help your team get the most out of agile methodology. As an agile coach, you would be responsible for removing any roadblocks that may prevent your team from achieving its goals. You’d help teams become self-organizing and adopt a more productive way of working; and it’s not just about setting them up with tools or instructions; rather than telling people what they should do next (which might seem directed), coaches focus on guiding individuals through this process step by step so everyone has control over their work.

    There are a few key things that you need to keep in mind if you want to be successful as an agile coach:

    1. You need to be patient and understand that people learn at different rates; some will take longer than others to adjust to the new way of working.

    2. You have to be able to empathize with people and understand where they are coming from; this will help you better guide them through the process.

    3. You need to be able to communicate effectively; this means being able to explain things in a way that everyone can understand, as well as being able to listen to feedback and questions.

    4. You need to be able to work well under pressure and manage stress; this is something that you will likely experience as an agile coach, so it is important that you are prepared for it.

    5. You need to be flexible and adaptable; the world of agile coaching is constantly changing, so you need to be able to change with it.

    6. You need to be patient; people will make mistakes and things will not always go according to plan, so you need to be able to handle these situations calmly and efficiently.

    7. You need to have a positive attitude; this is something that will rub off on the people you are coaching, so it is important that you are always upbeat and positive.

    8. You need to be a good listener; this is one of the most important skills an agile coach can have, as it allows you to really understand what your team members are saying and how they are feeling.

    9. You need to be able to give clear instructions; this is another important skill, as your team will need to be able to understand what you want them to do in order to be able to do it effectively.

    10. You need to be able to build rapport; this is essential in order for your team to trust you and feel comfortable working with you.

    Finally, being an effective Agile Coach requires excellent communication skills. You’ll need to be able to clearly explain complex concepts to your team members and help them understand how they can apply these concepts to their own work. Additionally, you’ll need to be able to resolve conflicts and provide constructive feedback. If you can do all of these things, then you’ll be well on your way to being an effective Agile Coach!

  • 5 Nuggets on Evolving as a Software Engineer

    Based on my experiences during training and coaching, I have come across software engineers requesting direction to improve their general skills which could motivate them for a higher purpose than just writing chunks of code As a software engineer, it is important to understand the human cognitive system and how it works. This includes understanding how people think, make decisions, and process information. It is also important to understand the different types of software development and how they can be used to create software systems that meet user requirements. Additionally, software engineers must have a good understanding of computer programming languages, algorithms, and data structures. Understanding these topics can help software engineers create more efficient and effective software systems. As a primer, I am listing a few nuggets that can invigorate your journey. Research on the internet by twining the software engineering craft along with the nugget topics and it could help you fabricate a knowledge graph of your own. So here you go…

    Learning to Write meaningfully – Nugget 1

    Explore the work of Linguists. By studying linguistics, software engineers can learn how to better understand human cognition. Linguists examine how languages are used to communicate thoughts, emotions, and ideas. By understanding a language’s rules and structure, software engineers can develop a greater insight into how people make decisions and think. Understanding how people use language can help software engineers build more intuitive and effective systems. Linguists study these nuances to provide insight into code development. The main difference between general language structure and coding languages is the rules they follow.

    Learning to See – Nugget 2

    The way general language and coding language are structured can be vastly different. General language is meant for things like talking to others, conveying feelings, and expressing emotions. On the other hand, coding languages are used for writing code for software programs and systems. While conventional spoken and written language has grammar rules, coding languages have syntax guidelines, data structures, and algorithms. In addition, certain keywords and commands are used with coding languages to tell the computer what to do. By comprehending these dissimilarities, software engineers can design systems that are more natural and successful.

    When learning a new language, it is important for software engineers to follow certain patterns. First, they should learn the basics of the language, such as syntax, data structures, and algorithms. Next, they should understand the different features and capabilities of the language. Finally, they should practice writing code and become familiar with the different tools and frameworks available. By following these patterns, software engineers can become proficient in the language and use it to its fullest potential.

    First Reasoning Lesson – Nugget 3

    Deductive reasoning is vital for any software engineer looking to solve a problem. Here’s how it works: You take pre-existing information and, through logical eliminations and inferences, arrive at a conclusion. When breaking down a large problem into smaller chunks, different hypothetical outcomes should be considered along with their potential implications. This will assist in formulating hypotheses which can then be put to the test. The results of this analysis will help determine the root cause of whatever issue you’re facing so that an appropriate solution may be developed.”

    Few other reasoning techniques are

    • Inductive reasoning: Inductive reasoning involves starting with specific observations or examples and using them to draw a general conclusion or principle.
    • Analogical reasoning: Analogical reasoning involves comparing two or more similar situations or cases and using the similarities to draw conclusions or make decisions.
    • Causal reasoning: Causal reasoning involves identifying the cause-and-effect relationship between events or phenomena, and using this information to make predictions or decisions.
    • Probabilistic reasoning: Probabilistic reasoning involves making decisions or predictions based on the likelihood or probability of different outcomes.

    Love for Knowlege – Philo Sophia – Nugget 4

    The overall philosophy of software engineering falls into four categories: abstraction, modularity, data structures, and algorithms. Abstraction is the process of understanding the bigger picture and breaking down complex tasks into manageable components. Modularity is the practice of breaking a program into separate modules that can be reused and maintained independently. Data structures are the way data is organized and manipulated in a program, while algorithms are the step-by-step instructions that a program follows in order to accomplish a task. By focusing on these four areas, software engineers can create more effective and efficient software systems.

    Become – Voice of the Language – Nugget 5

    The aim of a software engineer should ultimately be to refine his mind through his craft. As a software engineer develops and creates software systems, he should strive to become more knowledgeable, analytical, and creative. This will be reflected in his language and speech, which should become more concise, accurate, and expressive. Through the practice of software engineering, a software engineer can become a more proficient problem solver and develop a deeper understanding of the field.

  • Steps on Growing Personal Values, Preparing Goals and Eating them.

    Do you have values and goals in life? Do your goals inspire you to continue working or are those unfulfilled dreams still haunting you? Do people resonate with your values, are those values strong enough to motivate you on a daily basis?

    If you find that your personal goals and values are still inspiring you to strive for a growth mindset and collaboration with like-minded individuals, then great! You can carry on up the path. However, if this is not the case, you might need to revisit your values and goals.

    Let’s start with Personal values. Personal values are the principles and beliefs that guide an individual’s behavior and decision-making. Personal values are shaped by a variety of factors, including an individual’s experiences, upbringing, and cultural influences.

    To form personal values that are very powerful, individuals can follow a few key steps, including:

    1. Identify what is important to you: The first step in forming powerful personal values is to identify what is important to you. This can involve reflecting on your experiences, interests, and goals, and considering what principles and beliefs are most important to you.
    2. Consider the potential impact of your values: Once you have identified your values, it can be helpful to consider the potential impact of these values on your life and on others. This can help to ensure that your values align with your goals and aspirations and that they are not likely to cause harm or conflict with others.
    3. Be consistent in living your values: To form powerful personal values, it is important to be consistent in living your values. This means making decisions and taking actions that are consistent with your values, and being willing to stand up for your values when they are challenged or tested.
    4. Continuously reflect and revise your values: Personal values are not static, and they may change and evolve over time. To form powerful personal values, it is important to continuously reflect on your values and to revise them as necessary based on new experiences and insights.

    Overall, to form personal values that are very powerful, individuals should identify what is important to them, consider the potential impact of their values, be consistent in living their values, and continuously reflect and revise their values. By following these steps, individuals can develop personal values that guide their behavior and decision-making, and that support their goals and aspirations.

    To create OKR and tie it up with goals, individuals can follow a few key steps, including:

    1. identify: The first step to OKR is reflecting on your values, priorities, and aspirations to understand what you want to achieve in the short term and long term..
    2. Set specific and measurable objectives: Once you have established what your goals are, it is time to set specific and measurable objectives. This includes tailoring your objectives to be clear and concise, as well as implementing methods to gauge whether or not you are on track.
    3. Define key results: You can’t have OKRs without also defining key results. Key Results are the metrics used to measure progress toward objectives and should be specific, measurable, and time-bound. Make sure they’re aligned with your goals too.
    4. Create a plan of action: Once you have your objectives and key results in place, it is crucial to establish a plan of action to reach them. This can involve dividing your objectives and key results into more achievable bite-sized tasks, as well as setting timelines and standards for completing these tasks.
    5. Continuously evaluate and adjust your plan: Progress doesn’t happen on its own; you have to be proactive. This entails frequently assessing your goals, and amending your plans as needed in order to alter course and keep making progress.

    To develop an effective OKR framework, individuals should identify their goals, set specific and measurable objectives, define key results, create a plan of action, and continuously evaluate and adjust their plans. By following these steps, individuals can align their goals with objectives and strategies to achieve desired outcomes.

    Share your Goals for 2023 as comments

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