AI-Accelerated User Needs Leadership
· 5 min read
In our previous post, we explored how to use LLM-driven competitor simulations to anticipate and prepare for the moves of our rivals. But a purely external focus is not enough. To create lasting value, we must also have a deep and evolving understanding of our users.
Leaders default to visible requirements, yet competitive advantage emerges when you stretch beyond the backlog to hypothesise the needs users can’t articulate. Wardley Mapping, and its user needs-focused cousin, remind us that "what people ask for" is only the top layer. AI now gives us leverage to work the deeper layers without guesswork.
How this post fits the series
- Grounds the flashy simulations and autonomy work in user reality, ensuring the playbook remains anchored on needs.
- Complements continuous map governance by keeping the inputs to the map fresh and evidence-based.
- Sets up double-loop learning by emphasising the need to revisit assumptions as needs change.