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THE CHALLENGE

Lots of evidence. Too little clarity. Real consequences.

Most teams don’t lack information — they lack a shared, decision-ready picture of what matters most, how it connects, and where action will actually move outcomes. When evidence, stakeholder input, and politics don’t line up, decisions stall, drift, or get reversed.

The real drivers stay hidden.

You can’t see what’s really driving the problem — so you end up pushing on the wrong levers.

Assumptions sneak in untested.

Key leaps in logic aren’t written down, so teams debate opinions instead of resolving what the evidence supports.

It’s hard to defend decisions.

When leadership, partners, or auditors ask “why this?”, the answer is scattered across documents and inboxes.

Updating becomes a mini-project.

New evidence or a change in context means rebuilding the story from scratch — slow, expensive, and fragile.

Shared understanding is missing.

Multiple perspectives exist, but without a structured way to compare them, agreement stays brittle.

We help you turn that mess into a clear map and a ranked “what to do next” that holds up under scrutiny.

OUR APPROACH

A repeatable workflow —not a one-off diagram.

We turn messy evidence into a decision-ready map and a clear “what to do next” set of options — built to be explained, defended, and updated as things change.

  1. Step 1

    Scope the decision

    Align on the decision question and what’s in/out — so everyone is solving the same problem and “good clarity” is defined upfront.

  2. Step 2

    Compile evidence

    Build an indexed source library you can brief from — so the “why” behind each claim is easy to find and easy to update.

  3. Step 3

    Map what influences what

    Turn the evidence into a clear system picture — the key drivers, connections, and pressures — with duplicates merged and noise reduced.

  4. Step 4

    Validate & focus the work

    Stress-test with your experts and stakeholders — then surface priority action options (“if we act here, then…”)—with assumptions that matter and a clear “what to confirm next” agenda.

Real project example: this diagram summarizes our process—turning hundreds of documents into a system map and a short list of priority cause-and-effect routes.
Evidence-backed system map and decision-ready priorities infographic (ASEAN ASPEN): 776 documents processed into traceable evidence and 11 priority routes across the system.

Evidence at scale — with human-in-the-loop validation

We use AI-assisted processing to organize and triage large bodies of evidence quickly — but the map itself is a working hypothesis, not a final truth. We keep humans in the loop by validating the logic through expert review and stakeholder consultation, explicitly surfacing where perspectives differ, what assumptions are doing the work, and what needs confirmation before decisions are locked in.

  • Build a citeable, indexed evidence library fast
  • Make assumptions explicit (and discussable)
  • Validate the model through expert/stakeholder consultation and targeted follow-up
  • Produce a clear “what to confirm next” agenda so the map stays decision-safe

Get in Touch

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