A methodology for AI-augmented decision-making
Speculate · Plan · Assess · Rank · Kickoff
Talk to our founder →Most teams collapse the journey from possibility to execution into gut calls and crowded calendars. SPARK separates the work into five distinct stages — each matched to a specific mode of thinking and a specific kind of AI assistance.
Diverge widely. Generate possibilities without filtering, judging, or scoping. The point of this stage is to make the option space larger than the team could reach alone.
Sketch the shape of each promising candidate. Just enough detail to understand its scope, dependencies, and resource demands — no further.
Confront each candidate with reality: budget, capacity, calendar, technical readiness, strategic fit. This is where wishful thinking gets named.
Order the candidates. Force the trade-offs out into the open. Ranking is a commitment, not a vote — feasibility wins arguments, not enthusiasm.
Commit. Move the top candidate(s) into build mode with owners, milestones, and a working feedback loop — so momentum doesn't depend on memory.
Each stage names a distinct mode of thinking, so teams know what is being asked of them and stop blending divergence with judgment.
AI's contribution differs by stage. The methodology tells you which kind of help to invoke — and which to refuse.
Connected tools turn AI from a generic brainstormer into a context-aware partner that knows your calendar, your docs, your data.
Ranking is treated as a commitment, not a vote. Feasibility wins arguments — and the rationale survives the meeting.
SPARK was built by Dr. Ron Suarez — "DrRon" to his friends (after DJ'ing Detroit Techno) — to help teams move from possibility to practice without losing the thread. Book a conversation, send us a note, or read more about Ron's work.
A very human being, indeed.