06/06/2025 • by Jonas Kellermeyer
Agile methods in R&D

As with pretty much every work process, there are also certain hurdles with regard to R&D that unnecessarily inflate a corresponding process. Agile methods can be used to ensure that the focus on basic productivity is not lost despite all the creativity and experimentation.
Agile methods in the context of R&D
Agile methods are gaining ground almost everywhere and are not even stopping at Research & Development (R&D). As they are based on a collective team dynamic, they can supplement traditional, often rigid and individual development processes in a targeted manner or even replace them completely. The term “agile methods” refers to approaches such as Scrum, Kanban or Lean Management, which originally originated in software development but are now also being used successfully in other fields of innovation - including and especially in R&D. In contrast to traditional methods, which are typically linear and long-term, agile approaches emphasize iterative process cycles, flexibility and rapid adjustments. These characteristics address key challenges in R&D, such as disproportionately high levels of uncertainty, complex innovation requirements and rapidly changing technological and market-related conditions. Agile methods therefore offer the opportunity to significantly shorten innovation cycles and respond to dynamic requirements more quickly and efficiently, particularly in the area of R&D. Agile processes in research and development therefore offer an effective way of responding to dynamic requirements more quickly and efficiently. In combination with lean innovation in R&D, a powerful set of tools is created for the strategically sustainable realignment of innovation projects.
Advantages of agile methods regarding R&D
As already mentioned in the previous section, the use of agile methods is now the order of the day in many business sectors. One of the main reasons for this development can be found in simplified and, as it were, comprehensible decision-making: if you want to position yourself as a powerful player in today's fast-moving world, you need a strategic offensive that guarantees agility and thus makes it possible to actively shape change in a self-confident manner instead of just passively witnessing it. Accordingly, a key advantage of using agile methods in R&D is the significant increase in adaptability and speed of innovation. Through iterative development cycles, new findings can be integrated at an early stage, risks minimized and unnecessary resource commitment avoided. Methods such as Scrum and Kanban also promote interdisciplinary collaboration, increase transparency within teams and enable continuous learning from each individual development step. Particularly in uncertain, complex and changing research contexts, agile approaches offer a flexible and user-centered basis for successful and multi-layered innovation processes. No two projects are the same; sometimes the focus of the respective projects varies considerably. With the help of agile methods, it is possible to fully evaluate this circumstance as positive.
In the following section, we want to take a closer look at the exemplary application of agile methods and corresponding tools in R&D.
Agile frameworks and their special application in R&D
In research and development, various agile frameworks have proven to be particularly effective in structuring dynamic processes and implementing complex projects efficiently. In addition to Scrum and Kanban, the most common approaches include lean management methods such as Lean Startup. Each individual agile method offers specific advantages for different phases of the innovation process or with regard to adequate research.scrum is particularly suitable for projects with a high degree of innovation and fuzzy requirements.
In R&D contexts, Scrum can be used to quickly create initial prototypes through short development cycles (sprints) and improve them iteratively. An example: As part of a research project, incremental progress is made in two-week sprints with the help of Scrum. The iterative nature of these individual sprints ensures that the entire team can focus on a previously defined goal for the duration of the phase. This requires initial planning and corresponding guidelines, such as those provided by product owners and scrum masters.
Kanban, on the other hand, is ideal for visualizing existing research processes and identifying bottlenecks at an early stage. In the context of research, Kanban can be used to transparently map test processing, analysis phases and documentation steps and to better coordinate parallel activities. At best, everyone involved knows the status of the project as a whole by looking at the Kanban board.
Lean management focuses on validating hypotheses through early testing with real users. This approach helps to avoid unnecessary development loops, especially in the development of new products or digital tools in an R&D context. The development of a minimum viable product (MVP) can be helpful, for example, to obtain direct feedback from pilot applications and to iteratively improve the explicit form.
The choice of the appropriate framework depends on the objective, team structure and the respective maturity level of the innovation. A combination of methods often makes sense in order to meet the complex requirements of research and development. In combination with Lean Innovation in R&D, a powerful set of tools is created for the strategic realignment of innovation projects.
Challenges with implementing agile mechanisms in R&D
All that glitters is not gold: especially when it comes to implementing agile methods and mechanisms in established team structures, things can bump and crash at first. This is because agile principles not only require new tools and processes - above all, they demand a different way of thinking. Those who have worked in linear development models for years often find it difficult to accept the openness, personal responsibility and joy of iteration that agile approaches require. When a “Product Owner” or a “Scrum Master” suddenly appears on the scene, this often causes irritation in the team - especially if these roles are not given the appropriate authority or acceptance. In addition, there are doubts about efficiency: does it really make sense to hold regular meetings when the actual aim is to “work”? After all, working in an agile way also means relinquishing control, decentralizing decisions and developing trust in iterative processes. This is not easy for everyone - especially when quick results are required and external pressure is increasing.
There is also often reluctance at management level. Working in an agile way also means relinquishing control, decentralizing decisions and developing trust in iterative processes. This is not easy for everyone - especially when quick results are required and external pressure is increasing. To ensure that agile methods in R&D do not degenerate into a hollow phrase, a careful introduction, genuine participation of all stakeholders and clear communication about what should change and how - and why - are required. Only in this way can new ways of thinking really take root and have a long-term effect. A combination of methods often makes sense in order to meet the complex requirements of research and development. In combination with Lean Innovation in R&D, this creates a powerful set of tools for the strategic realignment of innovation projects.
Conclusion: Structural change and the opportunity for real innovation
Agile methods in R&D are not a panacea - but they can be a powerful tool if you are prepared to embrace newly emerging dynamics. They promote a culture of experimentation, openness and continuous learning - exactly what innovative development work needs in the 21st century. However, as with any change, it takes patience, sensitivity and a good dose of courage to break down and ultimately change entrenched thought patterns. Those who follow such a path will not only be able to admire accelerated innovation cycles and more precise collaboration - another outcome is, above all, a team that not only explores the future, but actively (co-)shapes it. A combination of methods often makes sense in order to meet the complex requirements of research and development. In combination with lean management in R&D, a powerful set of tools is created for the strategic realignment of innovation projects. Despite any difficulties that may arise, the introduction of agile methods offers an extraordinary opportunity to bring about a productive minimum level of stability, especially in areas that are only located in vaguely defined social sub-areas.