Digitalizace vnitrofiremních procesů a zvýšení efektivity řízení organizace

<< Background >>Our main goal was to transform our existing in-person course into a microlearning (ML) format. We wanted to adapt individual course topics into suitable ML forms, allowing participants to study independently, according to their schedule and individual needs. The course focused on using cloud applications to streamline internal company processes.We had study materials from the in-person course version and extensive experience with the subject matter. However, we lacked sufficient knowledge in creating ML-format courses. The project enabled us to partner with an ML-experienced organization and realize our vision, which we had been discussing within our organization during the COVID-19 pandemic. The pandemic, among other things, accelerated the massive adoption of online communication and education.We joined the project because it allowed us to work with an experienced foreign partner to create an ML course. This fulfilled our main need - giving learners detailed access to the subject matter without attending time-consuming in-person training. Learners can now choose specific topics, which was impossible in the in-person course where everyone had to complete everything.<< Objectives >>During project preparation, we set out to develop and launch an ML course enabling users to explore organizational process digitization and effective cloud application use. Our intention was to make the course available online, allowing participants to avoid time-consuming in-person training and study according to their individual needs and schedules.During project implementation, we planned to work with our partner to design suitable ML forms and elements for various topics. We wanted to make this course accessible to all interested parties with minimal need for our involvement. Throughout the project, we developed an appropriate way to deliver content through a web portal with simple navigation, where users could independently browse and select topics based on their preferences.We also aimed to shift the explanation of basic principles and possibilities in digitalizing internal processes from in-person training to the online portal. This would free up space for providing individual expert consultations about specific solutions while ensuring we could offer technical, educational, and informational support when needed.<< Implementation >>During project preparation, we described the entire implementation process and divided it into five sub-activities: course concept development, ML principles implementation, actual course creation, pilot testing, and public release. These activities were connected both in content and logic.Throughout implementation, we generally maintained this structure. However, it became clear that precise advance planning wasn't always possible, leading to timeline shifts in some activities. We also discovered that the proposed division, though based on both organizations' team members' experience, didn't need to be so strictly defined, especially in the project's second half.For more effective implementation, it proved better to develop one specific topic, pilot test it, and use the feedback for developing the next topic. This meant the last three activities could overlap, which would have been more suitable for project implementation. Similarly, incorporating feedback continuously proved more effective than in one batch during the final activity.It's worth noting that the original division was correct regarding content and overall activity structure. The overlap in the final project phase only enhanced implementation.<< Results >>The project's main goal was to develop and launch an ML course focused on digitalizing internal business processes. During implementation, we specified that the content would be accessible through a free web portal. We successfully achieved this primary project output.The portal is available at digimanagement.podporovat.cz. Its content covers processes common to almost all organizations, with smaller organizations often handling these processes inconsistently and unsystematically.The portal content includes:-12 detailed PDF guides as supplementary study material-58 video tutorials-49 infographic flyers-26 downloadable files-1 podcast in both video and audio format (38 minutes)-1 bonus quiz creation tool-12 automation scripts (including video guides)-Text cards for each topicThe portal's content scope exceeds initial expectations, reflecting insights gained during project implementation.Additional project outputs include evaluation activities, consultations, and implementation support. The ML materials portal is particularly popular with smaller organizations, especially NGOs eligible for free cloud applications. Further training is planned in the Pardubice region.