Workflow Features
In today’s economy, the bar for innovation has been raised and the pressure is on for teams. Teams are asked to innovate now more than ever. Yet promising ideas face more scrutiny. That’s why teams need smarter approaches to learning, exploration, and discovery. It’s the key to securing buy-in, faster decisions, and moving ideas into action.
It’s not easy to source the right questions to explore and make them actionable so that high-quality answers are available for decisions. The collaboration can involve endless meetings, weeks of time, and worse than all that—missed input and blind spots that slow progress.
The workflows of Ritual help make this easier.
Building an exploration
Craft a problem statement
A clear problem statement makes each exploration focused and leads to explainable recommendations. When you provide raw input, Ritual analyzes it, surfaces “attack vectors” as considerations, and lets you refine them for precision and altitude. From there, Ritual generates a structured problem statement with objectives and constraints.
Set up discovery questions
After developing a problem statement, Ritual produces suggested discovery questions which the admin can interact with. Discovery questions follow the aperture of the problem statement. They are intended to cover the breadth and depth of the defined problem. They will also incorporate any standard questions which fit this aperture, after transforming them contextually.
Enable collaboration
The admin can open up the discovery questions for “sourcing” where collaborators can suggest more or the admin can move right to assigning questions. This collaborative approach ensures comprehensive coverage of all relevant aspects.
Running an exploration
Review and share questions
Review the compiled list of discovery questions and share them with relevant stakeholders. This ensures alignment and understanding across the team before diving into the answer phase.
Develop answers with AI assistance
Ritual’s answer engine is a framework that is custom to each question. It’s meant to help users overcome cold starts. It starts by providing a range of considerations that represent building blocks. For each consideration, the tool asks clarifying questions which help the user extract relevant thought.
From answers to recommendations
Generate actionable recommendations
When an exploration is complete, Ritual drafts actionable recommendations. Recommendations are organized by category and there are often multiple recommendations by category. Recommendations can be shared and comments can be used to regenerate them.
Tailor recommendations to artifacts
Recommendations take shape from the stage of the product lifecycle you’re focused on. The selection of an artifact provides Ritual with this context. For example, if the artifact is a PRD, Ritual generates recommendations in the form of stories / epics.
Action recommendations with integrations
We generate JIRA ready outputs such as tickets and can support integrations into project management systems (Asana, Monday, Atlassian suite).
Key workflow capabilities
- Problem Statement Generation: Transform raw input into structured problem statements with clear objectives and constraints
- Discovery Question Framework: Automatically generate contextual questions that cover breadth and depth of the problem space
- Collaborative Sourcing: Enable teams to contribute questions and insights during the exploration process
- AI-Powered Answer Engine: Overcome cold starts with consideration-based frameworks and clarifying questions
- Contextual Recommendations: Generate artifact-specific recommendations aligned with your product lifecycle stage
- Integration Support: Export recommendations directly to project management tools for seamless execution