Decision Studio

Committee decisions you can defend.

Decision Studio turns a panel's judgments into one ranked recommendation, flags where members contradict themselves or each other, and shows exactly what would change the answer.

Built on the Analytic Hierarchy Process (AHP), a method used for decades in procurement, engineering and public policy.

ITSM vendor selection, 3-person panelsample data
  1. Vendor Beta0.796
  2. Vendor Gamma0.792
  3. Vendor Delta0.700
  4. Vendor Alpha0.574

The panel set it at 32.7%. Above 34.1%, Vendor Gamma overtakes Vendor Beta. Your memo states that threshold, so the committee knows how close the call is.

Most selections are decided by the loudest voice in the room

Then someone builds a spreadsheet to justify it. Structured multi-criteria decision-making (MCDM) changes the order: agree what matters first, judge second, and let the arithmetic combine everyone fairly.

TopicThe usual wayWith Decision Studio
WeightsSomeone types 30%, 25%, 20% into a sheet. Nobody remembers why.Weights come from each member's pairwise answers, recorded and repeatable.
ContradictionsA beats B, B beats C, C beats A, and no one notices.A consistency check flags it live and points to the answer to revisit.
Group viewsThe most senior or most vocal opinion wins.Every member is heard, with influence set openly, and disagreement is shown, not hidden.
The result“Vendor B scored 78.” Is that close? Nobody can say.“B leads unless compliance weighs more than 34%.” You know how close the call is.
AfterwardsAn audit asks why. The answer is in someone's memory.A decision memo with the full trail: who judged what, and how it added up.

How it works

  1. Agree what matters

    Describe the decision. AI drafts four to seven criteria that don't overlap; the panel edits and keeps what fits.

  2. Weigh criteria two at a time

    Invite each member by email or WhatsApp. On their own link they answer simple questions: is cost more important than delivery risk, and by how much?

  3. Rate the options

    Members rate each option on the judgement criteria. Prices, years and other hard numbers are entered once, with their source.

  4. Get a defensible result

    The panel's views are combined into one ranking, and the final report shows the disagreements, the open issues and the exact point at which the answer would change, ready to sign.

Which matters more for this decision, and by how much?

Total costData residency

“Data residency is strongly more important than cost” becomes a 5 on Saaty's 1–9 scale. People judge two things at a time far more reliably than they share out 100 points across ten.

Every kind of evidence, scored on one scale

Real decisions mix prices, facts and opinions. Each criterion says what kind of evidence it takes and which direction is better, so a cheap price and a long track record both count in your favour.

EvidenceExampleHow it scores
Number, lower is betterPrice: 1,000 SAR vs 2,000 SARThe cheapest scores 1.0; twice the price scores 0.5
Number, higher is betterExperience: 8 years vs 4 yearsThe most scores 1.0; half as much scores 0.5
CategoryColour: red preferred, blue acceptable, grey lastThe panel sets each category's preference once; every option inherits it
JudgmentQuality of the proposal, communication in interviewEach member rates 1–5; ratings are combined across the panel

Every number and category carries its source and a confirmed flag. Anything unconfirmed is listed as an open issue before sign-off.

One method, many decisions

Each example opens in the app with sample data, so you can change the judgments and watch the result move.

Vendor selection

Score suppliers on fit, total cost, delivery risk, local support and compliance, and keep the trail behind the award.

  • Functional fit
  • 3-year cost
  • Implementation risk
  • Data residency
Open the vendor selection example

Hiring panels

Weigh the role's competencies before meeting anyone, then compare shortlisted candidates on evidence, not on who interviewed last.

  • Technical skills
  • Problem solving
  • Stakeholder communication
  • Experience
Open the hiring panels example

Project prioritization

Rank initiatives competing for one budget, and show the board why the third project missed the line.

  • Strategic alignment
  • Annual benefit
  • Total cost
  • Delivery risk
Open the project prioritization example

AI drafts and explains. People decide.

What the AI does

  • Drafts criteria from a plain description of the decision
  • Merges overlapping criteria so nobody is asked the same thing twice
  • Writes the decision memo from the computed results

What it never does

  • Make, suggest or adjust any judgment or score
  • Rate people in hiring decisions
  • Add facts that aren't in the panel's inputs

Designed for Saudi teams: Arabic interface and in-Kingdom hosting are on the roadmap, and hiring templates keep candidate data to job-related evidence only.

Bring your next shortlist

Start from a template or a blank decision. No sign-up for the demo. Your decision stays in your browser until you invite your panel.

Open Decision Studio