Practical thinking for decisions that must produce value.

Our thinking focuses on the connections between investment, decisions, delivery and evidence. Explore the questions that shape our work.

Questions that shape our work

AI impact and value: workflow before tool, AI Theory of Change, adoption versus outcome, socioeconomic return and unintended effects.

Data to decision: evidence debt, indicator rationalization, information flow and decision mapping.

Strategy and adaptation: decision rights, stage gates, benefit realization, foresight, stop and defer choices.

Evidence and impact: Impact by Design, contribution, developmental evaluation, Value for Money and SROI boundaries.

Decision continuity: assumptions, structured challenge, action learning, decision records and Astrelia lessons.