What we do
The system brings market, customer, competitor and business evidence together around consequential decisions: which segment to prioritize, how to position a product, what prevents adoption, where to expand or which proposition deserves investment. Value is expressed through decisions and their implications for the business.
Behavioral understanding
Situation, observable behavior, motivations, social influences and cultural interpretation — producing useful segments, buying-committee roles or stakeholder descriptions, from a broad audience label to a specific tension, desired change and evidence threshold.
Scenarios and strategic exploration
Scenarios and, where appropriate, synthetic personas or digital twins explore alternative propositions, reactions and decisions — with source grounding, assumptions, comparison conditions and validation against observed or directly collected evidence, interpreted by senior practitioners.
LLM perception and market access
The questions used to examine how AI systems characterize the company and category: recurring descriptions, perceived alternatives, missing or distorted differentiation, cited sources and differences across markets — with the study context stated and the findings connected to a specific decision.
Decisions and reusable outputs
Prioritized markets and segments, proposition options, decision scenarios, competitive framing, an evidence map and recommendations with explicit assumptions — the inputs Design Systems and Demand Systems build on.
Maintaining the intelligence
What is revisited over time and which signals trigger reconsideration: new sales feedback, competitor changes, shifting customer needs, new evidence or changes in AI representation — and how client teams participate.
The intelligence foundation
Specific to your business, not generic.
Conflicting evidence, gaps and the freshness of inputs are handled explicitly, so you can see why the output is specific to your business and which information most changes its quality.
Understanding the people who influence the decision
The product expert is not the only one deciding.
of hidden decision-makers said thought leadership shaped how they vetted vendors
The 2025 Edelman and LinkedIn report distinguishes product experts from hidden decision-makers — finance, procurement or operations stakeholders outside the primary product-expert role — and finds that 55% of those hidden decision-makers said thought leadership was an important part of how they vetted potential vendors.
Source: Edelman and LinkedIn B2B Thought Leadership Impact Report 2025
Method
1,934 business executives surveyed through LinkedIn, United States · fieldwork March 17–April 3, 2025
What it changes in the system
Buying-committee research becomes concrete: each role brings its own definition of value and risk, and each is mapped to the evidence and the decision it needs.
The committee is validated in your market rather than assumed from a fixed persona structure — the roles, their questions and their proof thresholds are observed, not templated.
How the perspectives serve those readersContext, not a result. Self-reported attitudes from one US sample describe how vendors are vetted; they are not observed conversion or a result of Acumion's work.
Tangible output
What you take away.
Market intelligence
An evidence map with gaps, freshness and conflicts made explicit.
Segmentation
Grounded segments, committee roles and stakeholder descriptions.
Decision scenarios
Alternatives explored with assumptions and validation stated.
Positioning and priorities
Recommendations traceable to evidence, with an update cadence.
Related
Where the decisions go next.
Winning in an AI-Mediated World
Why the next generation of growth will be driven by behavioral intelligence.
Read the perspective