Risk assessment is not “insurance” in case of disaster, but rather a regular habit of asking yourself: what could go wrong – and are we ready for it? This process is often underestimated, especially in the early stages, but it can save nerves, time, money – and your reputation.
When you jump into a new project, it’s tempting to “dive right in”: discuss features, estimate tasks, make a plan. But the truth is, most pitfalls aren’t in the code. They’re waiting at the very start – when you haven’t asked enough questions, haven’t learned all you need to, and haven’t put the important stuff on paper (or at least in Google Docs).
Imagine having a personal assistant who can help with routine tasks, suggest unusual solutions, and even create test documentation for you. And it’s not a teammate – it’s artificial intelligence (AI). Today we’ll talk about how AI changes the approach to testing – practically, with examples and tools.
Decision-making speed often determines the winner. This applies to both sports and business. It is critically important to have access to up-to-date data - which clients are buying what, are the product metrics okay, what is the conversion rate of the new service?
In today's IT world, the role of a Quality Assurance (QA) specialist is rapidly evolving.
Data Analysis is a key business tool that helps make decisions based on numbers and facts.
Modern training methods can help companies not only optimize costs but also increase the effectiveness of personnel development.
Understanding and implementing corporate values is critical to the success of any organization. Let's review practical methods of integrating values at every level of your company.
When it comes to software development, the role of QA is often considered mandatory.