AI-Powered Multi-Criteria Decision Analysis

10 features that turn complex decisions into scored, defensible recommendations.

155 frameworks, 10 categories

155 Decision Frameworks

Run your decision through SWOT, Porter's Five Forces, AHP, TOPSIS, NPV, Kano, JTBD, and 148 more frameworks simultaneously. Organized across 10 categories covering strategy, finance, risk, technical, and organizational dimensions.

Deterministic + reproducible

Multi-Framework Scoring Engine

Three-phase pipeline: AI extraction translates natural language into structured data, deterministic rubrics compute 0-100 scores using 10 pattern types, and AI narrative generates persona-adapted explanations. Same input always produces the same score.

Cross-framework synthesis

Contradiction Detection

Automatically surfaces cases where different frameworks recommend different winners. Understand why SWOT says Option A but Porter's says Option B — with the reasoning behind each disagreement.

< 100ms re-scoring

Real-Time Sensitivity Analysis

Adjust framework weights and see scores update instantly. Identify which frameworks are 'swing voters' — if changing a single weight flips the winner, that dimension deserves extra scrutiny.

Sorted by information value

Smart Enrichment

After initial analysis, the system identifies which additional information would most improve confidence. Questions are ranked by information value — answer the top question to potentially change the winner.

PDF, PPTX, email, JSON, Slack, link, markdown

7 Export Formats

PDF professional reports, PowerPoint presentations, formatted email, JSON structured data, markdown for ADRs, Slack channel messages, and shareable public links for stakeholder review.

5 professional personas

Persona-Adaptive Reports

Reports are tailored to your role: technical depth for engineers, strategic summary for executives, client-facing language for consultants, feature-comparison focus for PMs.

Honest uncertainty

Confidence Intervals

Every score includes honest uncertainty bands (e.g., 78 ±6). Confidence is calculated from data quality, framework applicability, cross-framework agreement, and input completeness.

Full audit trail

Show Your Work Transparency

Drill into any score to see extracted data points, AI confidence scores, rubric computations, reasoning traces, and calibration adjustments. No black-box decisions.

Teams + Enterprise plans

Team Collaboration

Shared workspace with all team decisions, real-time collaboration on decision input, comments and discussion on results, and searchable team decision history.

Try All Features Free

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Frequently Asked Questions

How does SolveRight's scoring engine produce reproducible scores?+
Phase 2 of the pipeline is fully deterministic — the same extracted data always produces the same scores. Only Phase 1 (AI extraction) and Phase 3 (narrative generation) use LLMs. This means your scores are reproducible and auditable.
What are the 10 rubric pattern types?+
Qualitative Impact, Quantitative Formula, Categorical, Comparative, Distance-Based, Logic-Based, Multiplicative, Outranking, Probabilistic, and Comparative Pairwise. Each framework uses the pattern type that best matches its methodology.
How fast is the sensitivity analysis?+
Sensitivity analysis re-runs only Phase 2 (deterministic scoring), not the full pipeline. Weight changes produce updated scores in under 100 milliseconds, enabling real-time interactive exploration.
Can I customize which frameworks are included in my analysis?+
Yes. SolveRight pre-selects frameworks based on your role and decision type, but you can add or remove any framework. Pro, Teams, and Enterprise plans have access to all 155 frameworks.
What export format should I use for board presentations?+
PowerPoint (PPTX) export generates presentation-ready slides with charts, scores, and key findings. For detailed documentation, use PDF. For developer teams, markdown exports in ADR format.