Growth Hacking

Last updated November 5, 2025

Quick answer

Growth Hacking is an experiment-driven approach to rapid growth that combines product, marketing, and analytics to identify scalable traction loops.

Growth Hacking is an experiment-driven approach to rapid growth that combines product, marketing, and analytics to identify scalable traction loops. In practice, it helps organizations prioritize initiatives, allocate resources, and manage risk across an innovation portfolio.

Contributor

Mikkel @mkl_vang

Covers operational innovation, AI implementation patterns, and how teams ship useful change without theater.

Mikkel writes from an operator perspective. He is interested in what happens after the strategy deck: staffing constraints, decision latency, governance friction, and the daily tradeoffs that determine whether innovation initiatives survive contact with reality. His reference base includes the OECD Oslo Manual, the NIST AI Risk Management Framework, and Google Re:Work.

His pieces often combine process design with clear implementation checklists, especially around AI adoption and cross-functional delivery. He likes explaining how high-level frameworks can be adapted to smaller teams with fewer resources by drawing on practical standards like the OECD Oslo Manual, the NIST AI Risk Management Framework, and team practices from Google Re:Work.

When reviewing content, Mikkel prioritizes precision over hype. If a recommendation cannot be tested in a sprint or measured over a quarter, it usually does not make the final draft.

Growth Hacking

Quick answer

Mikkel @mkl_vang

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