Human-Driven System
00:00
Est. 2004 · Decision Consensus

Decision Intelligence for
Polarized Organizations

Helping leadership teams turn disagreement into informed, defensible action, measured with a framework we have been developing since 2004.

Executive Committees· Boards· PMOs· Investors
The Challenge

Why Decisions Stall

Organizations don't fail because they lack information. They fail because experts disagree, stakeholders pull in different directions, and important decisions take too long.

  1. 01Different priorities
  2. 02Conflicting expertise
  3. 03Unclear ownership
  4. 04Slow governance
  5. 05Poor implementation
  6. 06Missed opportunity

MBU designs the process that resolves these barriers.

What We Do

Four disciplines, one decision

Decision Design

We define the decision itself, scope, constraints, criteria and what "good" looks like, before anyone argues about the answer.

Consensus Facilitation

We guide specialized teams toward evidence-based agreement without flattening expertise or deferring to the loudest voice.

Governance Support

We make the decision auditable: who decided, on what evidence, under which constraints, and with what accountability.

Executive Reporting

We document the outcome for boards, investors and delivery teams, and track what happens after the decision is made.

What Makes Us Different

We work where agreement is hardest

We facilitate structured consensus for decisions where:

  • multiple experts hold different, defensible opinions
  • risks are uncertain and cannot be modelled away
  • priorities genuinely conflict
  • timing matters as much as the answer
  • accountability is shared across functions
The Framework

Measured, not facilitated

MBU began in 2004 with the business algorithm framework, a structured model for understanding how organizations actually reach decisions. Twenty years of practice have refined it into the methodology behind every engagement.

Most advisors run a workshop and report what was said. We measure how a team reaches shared positions, where reaching them costs the most effort, and which working relationships carry disagreement well. That reading is structured and repeatable, so it can be revisited later rather than resting on how a meeting felt at the time.

Human-Centered Decision Design

Our advisory process is intentionally human-led. We use structured consulting methodologies to help organizations reach decisions that require judgment, accountability and stakeholder consensus. No part of the assessment is delegated to an automated system, which matters when the output informs investment and employment decisions.

The Evidence

A studied problem, not an opinion

Why capable teams struggle to decide together is one of the better-researched questions in organizational science. The findings are consistent, and they are not flattering to anyone's intuition, including ours.

  1. Groups discuss what they already share

    Teams reliably spend discussion time on information members hold in common and under-discuss what only one person knows. The effect is strong enough to have its own experimental paradigm, and it has held up across decades of replication.

    Stasser & Titus, J. Personality & Social Psychology, 1985 · Mesmer-Magnus & DeChurch, J. Applied Psychology, 2009

  2. Interpersonal friction costs more than disagreement

    Disagreement about the work and friction between people are different things. Meta-analysis finds the second is what reliably damages team performance, which is why it is worth measuring directly rather than inferring from how a meeting felt.

    De Dreu & Weingart, J. Applied Psychology, 2003

  3. Whether people speak up is a property of the team

    Psychological safety, the shared belief that the team is safe for interpersonal risk, predicts whether concerns, questions and errors are raised at all. Where it is absent, the information simply never arrives.

    Edmondson, Administrative Science Quarterly, 1999

  4. Process outweighs analysis

    Across 1,048 major business decisions, how the decision was reached mattered considerably more to the outcome than how well it had been analysed.

    Lovallo & Sibony, McKinsey Quarterly, 2010

The instrument we use, and how it has been reviewed

For relationship measurement we use 4G, an established instrument published by Four Groups. We apply it; we did not write it, and we think an instrument reviewed independently of the firm using it is worth more than a proprietary one.

4G was reviewed by Blue Edge Consulting against EFPA and BPS criteria, by chartered occupational psychologists. That review rated its reliability Good, with internal consistency of 0.86 to 0.87 and test‑retest stability of 0.78, and its validity Adequate. It also identified real limitations: the instrument does not use norms, its samples were not population‑representative, and its criterion‑related validity was rated inadequate. The review dates from 2007.

We say that plainly because of what it rules out. 4G gives a team a structured, shared view of how it currently reaches agreement. It is not a predictor of business performance, and we will not present it as one. We provide the structure and the measurement; the decision stays with the people accountable for it.

Our Method

How an engagement runs

  1. 1

    Discover

    Understand the decision landscape.

  2. 2

    Structure

    Map stakeholders, objectives, constraints and competing viewpoints.

  3. 3

    Facilitate

    Guide specialized teams toward evidence-based consensus.

  4. 4

    Decide

    Create an auditable decision framework.

  5. 5

    Report

    Executive reporting, governance documentation and implementation tracking.

Who We Work With

Where shared accountability lives

Executive Committees Boards Investors & Due Diligence PMOs Digital Transformation Teams Risk & Compliance Innovation Programs Cross-functional Project Teams Public Sector
Outcomes

What clients actually receive

Faster strategic decisions
Reduced organizational friction
Higher stakeholder alignment
Transparent governance
Better project execution
Defensible investment decisions
Cross-functional accountability
Deliverables

Every engagement includes

  • Executive decision reports
  • Consensus and relationship metrics
  • Stakeholder alignment summaries
  • Governance and data-privacy documentation
About MBU

Twenty years of structured practice

MBU Intelligence has advised executive teams, boards and investors since 2004 from Lisbon, Portugal. Our methodology is framework-driven, transparent and evidence-based, and deliberately human-led.

Facing a decision your organization can't agree on?

Tell us about it, or run the diagnostic and see where your decision is stalling.