This series analyses electric mobility not from a marketing or pure technology angle, but as a real-world product system: how trust is built, how decisions are actually made, how long-term adoption emerges beyond specifications and branding.

The analytical basis is the experience of building one of Europe's largest independent Škoda EV communities: 46'000+ members, 8.7 million views, 200'000 kilometres across two vehicle generations.

01Start with Why: How and why Speicher elektrisiert came aboutThis article explains the origin, purpose and rationale behind Speicher elektrisiert. It describes the market situation at the beginning of the 2020s, the role of the MEB platform and the functional gRead more →02How the Speicher elektrisiert business model is designedThis article describes how Speicher elektrisiert works today. It shows how the project functions as a knowledge system and how the individual components of the Business Model Canvas and Lean Canvas inRead more →03The two central customer segments of Speicher are electrifiedThis article describes the two user profiles or customer segments for which Speicher electrifies its content: Technical Analysts and Joyful Explorers. The Value Proposition Canvas serves as a tool to Read more →04Why the e-guide was created and how it worksI will show you how I use the Value Proposition Canvas to design my content, using my e-guide as an example.Read more →05Success Story: E-Guide for ENYAQ and ELROQOne year after launch: 983'000 views, around 112'000 hours of watch time and 99.6% positive ratings. The measurable impact of the eight-part e-guide.Read more →06Operating in a Niche: Strengths, Limits, DependenciesThis article explains why the niche made the project strong, but also what structural constraints and dependencies limited its further development.Read more →07Innovation Excursus: Desirable, Feasible, Viable This section places Speicher elektrisiert within a well-established innovation framework. The analysis explains why the model worked, where it reached structural limits, and why further development waRead more →08Ending at the PeakEnding a model while it is performing well may seem counterintuitive. Yet this is precisely where the difference lies between something that fades out and something that evolves.Read more →