Previous chapter: https://medium.com/analysts-corner/requirements-api-definitions-3f75a7308ae6 With this chapter, we first will understand why we need requirements for API and their place in the requirements classification frameworks. Then, we review the requirements engineering process and specific aspects you need to consider. Why do we need requirements for API? Let’s answer why business analysts have suddenly started working on API requirements. About a decade ago, when I began my career in IT as a business analyst, it was not a part of my general BA responsibilities. Now, you can see ..read more

Requirements must be good enough to let construction proceed at an acceptable level of risk. But how can you judge when you’re there? Image by kjpargeter on Freepik A software team is never going to get a perfect set of requirements. Some could be incomplete, incorrect, unnecessary, infeasible, ambiguous, or missing entirely. Requirements sometimes conflict with each other. Yet the team still needs to build a product based on the available requirements information. Practically speaking, the goal of the business analyst or product owner is to produce requirements that are good enough ..read more

Introduction In the rapidly evolving domain of customer service, the pressure on customer care agents to deliver exceptional service is higher than ever. However, the traditional methods of coaching agents are often fraught with challenges such as inconsistency, lack of personalization, and scalability issues. Enter Generative AI (GenAI), a transformative technology that promises to revolutionize how managers coach and develop their teams. Let’s explore how GenAI can be leveraged to enhance the effectiveness of customer care agent coaching, ultimately leading to improved customer satisfaction ..read more

Other Types of Regression While linear and logistic regressions are foundational, the landscape of regression analysis is rich and varied, accommodating a wide range of scenarios beyond what these basic models can handle. This diversity in regression techniques allows for more flexibility and precision in modeling complex relationships. This section introduces several other types of regression, providing a brief overview, use cases, and examples in Python and R for at least one advanced model. Polynomial Regression Overview: Polynomial regression extends linear regression to model non-lin ..read more

Article Outline: 1. Introduction 2. Understanding ANOVA 3. ANOVA in Economics: Applications and Use Cases 4. Preparing Economic Data for ANOVA 5. Performing ANOVA in Python 6. Performing ANOVA in R 7. Interpreting ANOVA Results 8. Advanced Topics in ANOVA 9. Conclusion This article aims to provide a comprehensive overview of the application of Analysis of Variance (ANOVA) in the field of economics. By integrating theoretical concepts with practical examples and code in Python and R, the article seeks to equip readers with the knowledge and skills necessary to leverage ANOVA in analyzing econom ..read more

Here’s an index with more than 120 of my articles on business analysis, product design, project management, quality, writing, and more. Photo by Nothing Ahead In the past five years, I’ve posted more than 120 articles on my Medium.com account. Most of these are on technical topics: software requirements and business analysis, product design, project management and teamwork, and software quality. Other articles relate to writing for publication, giving presentations, and consulting. Many of the articles are adapted from my various books. To help you find the topics that are of mo ..read more

Top stories published in March 2024 Hi there! Time flies fast when you are having fun doing what you love doing :) The first quarter of 2024 is behind us, and it has brought us a lot of insightful and thought provoking articles in our corner. In this issue of Analyst’s corner digest we’ve got the articles about: Systems Analysis: The topics of systems analysis have become quite popular recently; we have a few very nice stories to up your Use Cases and object-oriented analysis game, to design good APIs, and an overview of changes to the SWEBOK guide Business Agility: I ..read more

Article Outline 1. Introduction - Brief overview of statistical analysis and its significance - Introduction to regression and correlation, highlighting their importance - Preview of the article’s structure and objectives 2. Understanding Correlation - Definition and explanation of correlation - Types of correlation coefficients (Pearson, Spearman, Kendall) - Visualizing correlation using scatter plots - Python and R code example with a publicly available dataset 3. Exploring Regression - Definition and fundamentals of regression analysis - Types of regression models (Linear, Logistic, Polynom ..read more

Exploring the power of proof of concepts (PoC) More often there will be experimentation, change and the need for flexibility. Frameworks like Dual Track Agile from Marty Cagan’s book “Inspired” influenced organizations to split their efforts into product discovery and delivery. The Discovery track is all about quickly generating validated product backlog items, and the Delivery track is all about generating releasable software. One can also say that, in the Discovery track the goal is to “build the right solution”, to discover the product to build. Whereas in the Delivery track the goal ..read more

Recently, LinkedIn asked me to share my insights to be eligible for the “Top Voice” badge. I realized that I have something to share with my followers in a more extended way than typical (not ChatGPT-generated) answers to those top-voice questions. Definition and classification of dependencies As usual, let’s start with the definition, which is rather made on my own. When you need someone to do something so you can do your work, that is a dependency. Postponing the dependency means a delay in delivering your work and the expected outcome, which causes financial losses. Your team/service can ha ..read more