In 2018, LaunchVic put out a call for organisations to deliver founder education courses for founders and startup teams. Common Code successfully pitched a course for those building digital product startups and technology-focused businesses (you can see more about the LaunchVic funding round and the other successful programs here).
Common Code’s Founder Education program was our attempt to distill a decade of experience in Agile and Lean environments into six 2-hour workshops that would give entrepreneurs functional tools and techniques to make the right technology decisions for their startup. Each session was complemented by mentoring from our delivery team between each session, and access to their choice of up to 3 workshops to deep dive into a founders particular needs. More detail on the topics covered is below.
It was our privilege to work with 56 startups (75 founders and team members) across the 6 Founder Education program cohorts from March 2018 to March 2019. Their experience and feedback validated our hypotheses about the value of:
While the LaunchVic funded program is now complete, Common Code continues to draw on the content and process of the Founder Education program in its work with startups, and is actively exploring partnerships and collaborations for further iterations of the program delivery. The Founder Education program represents a Lean and Agile playbook for startup founders and executives attempting to create meaningful product or service offerings that leverage technology, particularly software.
If you are interested in learning more about Common Code’s work with startups and founders, or the Founder Education program specifically, get in touch with us to explore further on firstname.lastname@example.org.
The Founder Education Program
The six workshops:
Deep dive workshop topics included Introduction to Software; MVP/Feature Roadmapping; Customer/Product Market Fit; Feature/Product Strategy; Gaining Traction; CX; Hiring Roadmapping; Tech Decision Making & Strategy; Tech Stack Review; Business & Revenue Models; Early Product Validation