Author: Светослав Минчев, PMP

In modern marketing, many brands feel pressure to constantly „do something“: a new campaign, a new promotion, new content, new social media activity, a new discount or a new occasion to communicate. At first glance, this seems like good discipline. The brand is visible, the team is active, the advertising channels are working, and the indicators of reach, visits and interactions are updated…

After looking at phasing, planning, problem solving, control, organizational agility, and metrics, the next logical topic is the role of data. Generative AI can now assist project managers in analyzing, summarizing information, preparing reports, assessing risks, formulating solutions, and communicating with stakeholders. But its real value…

Having already covered work in stages, planning, problem solving, control and organizational agility, the natural next topic is measurement. Because even the best management approach loses value if the organization tracks the wrong indicators. When metrics are not connected to the real goals of the team and the business, they begin to create the illusion of progress instead of supporting better…

Having looked at working in stages, planning, problem-solving, and controlling, the logical last step in the series is organizational scale. Even the best team and the best-planned stage will reach their limits if the broader environment does not support quick decisions, clear priorities, and sustainable implementation. This is where the bigger topic comes in: how do you build an organization that doesn’t just execute…

Once an organization has introduced phased work, better planning, and a stronger focus on problem solving, the next question logically comes: how do we manage performance so that we have real visibility, reduce risk, and don't fool ourselves with reports? In the agile approach, control is not micromanagement, but a system of clear rules, checks, and data,…

Having already looked at working in stages and planning stages, the logical next question is how teams find better solutions when conditions are unclear, resources are limited, and the „obvious“ approach doesn’t work. The third post in the series is dedicated to innovation and problem-solving practices: how to formulate the goal so that there is…

When organizations already work in short stages, the natural next step is to improve the stage planning itself. This is where momentum often gets lost: the team has a framework, but the stage includes too many elements, the tasks are too large, dependencies remain hidden, and the „unforeseen“ comes as a surprise. The result is familiar to many enterprises: a lot of work started, partially…