
Decision Manager is a web-based application that empowers teams to make structured, bias-resistant decisions through a transparent, repeatable process. By combining option scoring, pros/cons capture, AI-assisted reasoning, and exportable decision memos, it streamlines everything from hiring choices to tech stack evaluations — all from a single, auditable interface.
USA
Education
2.5 year
A large team is working on this project.
Decision Manager is a web-based application that empowers teams to make structured, bias-resistant decisions through a transparent, repeatable process. By combining option scoring, pros/cons capture, AI-assisted reasoning, and exportable decision memos, it streamlines everything from hiring choices to tech stack evaluations — all from a single, auditable interface.
Decisions Logged
Templates Available
Avg. Time to Decision
Reduction in Decision Cycles
Our full-stack engagement included product strategy, feature roadmap creation, interface design, backend architecture, and scalable deployment to support B2B growth.
Teams were stuck in slow debates using scattered documents and inconsistent rubrics, making alignment difficult and outcomes opaque.
Decision Manager standardized how teams make choices — combining structure, AI assistance, and exportable clarity into one decision-ready platform.
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Enabled structured, bias-resistant decision-making for teams through a unified scoring interface.
Integrated AI to reduce cognitive load by drafting option descriptions and suggesting pros/cons.
Delivered one-click PDF/Markdown exports for shareable decision memos with rationale.
Supported optional tie-breakers and real-time winner logic with sensitivity indicators.
Leadership teams were bogged down by unstructured debates, opinion-based arguments, and spreadsheet chaos — leading to slow, inconsistent decision-making.
We designed a single-screen decision matrix model with structured inputs: options, pros/cons, 0–10 scoring, and automated winner logic — with AI support where helpful.
Our MVP included option creation, scoring engine, PDF export of decision memos, and inline comment functionality — focused on real-world team collaboration.
The product was deployed with responsive design (desktop/tablet/mobile), role-based access, and optional Slack/email/webhook integrations for workflow touchpoints.
Every scoring action, edit, and lock event was recorded with version control and governance workflows to support audit trails and real-time collaboration testing.
Post-launch, we introduced AI-powered reasoning drafts, tie-breaker toggles (impact/risk/cost), and decision template libraries to scale the platform across use cases.
Facilitates structured analysis by enabling users to score and compare decision options based on specific criteria like Content, Certification, Cost, etc. The side-by-side 'Pros' and 'Cons' columns empower balanced and unbiased decision-making through clear visual reasoning.

Users can define their own decision criteria, assign scoring definitions, and allocate weights to prioritize what's most important. The total weight helps maintain alignment with overall decision objectives, making the decision matrix adaptive and user-centric.

An intelligent AI assistant aids users by suggesting relevant definitions for each criterion based on context. This improves clarity, reduces ambiguity, and ensures decisions are framed with precision—even for non-technical users.

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