Ritual

Provides pre-built decision-making templates (RACI matrices, decision trees, pros/cons frameworks) that guide users through structured problem decomposition. The system enforces a consistent schema for decision inputs, reducing cognitive load and ensuring teams capture critical context (stakeholders, constraints, timeline) before AI analysis. Templates are customizable and persist as organizational decision-making standards.

Analyzes structured decision inputs (problem statement, constraints, stakeholders, timeline) and generates contextual recommendations using LLM reasoning. The system synthesizes trade-offs, flags potential blind spots, and suggests decision criteria based on the template schema and historical organizational decisions. Recommendations are ranked by confidence and include reasoning chains explaining the logic.

Enables asynchronous stakeholder voting on decision options with real-time visibility into preference distribution, reasoning, and dissent. The system tracks individual votes, aggregates preferences by stakeholder group (using RACI roles), and surfaces disagreement patterns that require discussion. Voting can be weighted by role or expertise, and the interface shows live vote counts and comment threads tied to specific options.

Automatically captures and stores completed decisions as searchable, timestamped records with full context (problem statement, options considered, final choice, reasoning, stakeholders, outcome tracking). Records are indexed by decision type, stakeholder, and outcome, enabling teams to query historical decisions and identify patterns. The system supports full-text search, filtering by metadata, and linking related decisions.

Monitors voting patterns, comments, and decision metadata to identify misalignment between stakeholders or roles. The system flags when key decision-makers disagree, when a stakeholder's concerns are unaddressed, or when voting patterns suggest insufficient context. Conflicts are surfaced with severity levels and recommended resolution actions (e.g., 'schedule discussion with Finance and Product', 'provide additional context on constraint X').

Enables teams to record decision outcomes (success/failure, actual vs. expected results, lessons learned) and correlate them with past decisions to identify patterns in decision quality. The system tracks whether decisions achieved their stated success criteria, captures post-decision reflections, and surfaces insights like 'decisions made with X stakeholder group have 20% higher success rate' or 'decisions with incomplete constraint documentation tend to fail'. Outcomes feed back into recommendation generation to improve future suggestions.

Analyzes aggregated decision history to identify organizational patterns: which decision types are most common, how long decisions typically take, which stakeholder groups are most frequently involved, and whether certain decision patterns correlate with better outcomes. The system generates reports on decision velocity, stakeholder participation, and decision quality trends over time. Patterns can be filtered by team, decision type, or time period.

Allows teams to define custom workflows that automate decision routing, notification, and escalation based on decision type, stakeholder involvement, or urgency. Workflows can specify: who must be notified, voting deadlines, escalation triggers (e.g., 'if no consensus after 48 hours, escalate to VP'), and post-decision actions (e.g., 'create Jira tickets for implementation'). Workflows are template-based and can be reused across similar decision types.

Automatically generates concise summaries of complex decisions for stakeholders who need to understand the outcome but not the full deliberation. Summaries include: the decision made, key trade-offs considered, why alternatives were rejected, and implementation implications. The system can generate summaries at different detail levels (executive brief vs. technical deep-dive) and in different formats (text, slides, video transcript). Summaries are generated from decision records and can be shared with non-participants.