Connected signal intake
Pulls in customer feedback and work signals from Slack, Jira, and meetings so product teams can review them together instead of across disconnected tools.
Radiq is a decision engine for product teams that connects Slack, Jira, and meeting signals, then turns them into evidence-backed recommendations, RICE scores, and draft PRDs. It is designed to help product teams decide what to build next and hand the work off to engineering with more context intact.
Radiq is a decision engine for product teams that gathers customer and delivery signals from tools such as Slack, Jira, and meetings, then turns them into a prioritized product recommendation. The homepage positions it as a way to move teams from scattered feedback to a code-ready spec and a drafted PRD.
The product page shows a workflow where Radiq reads repeated feedback, estimates RICE, cites the evidence behind the recommendation, and can create a Jira ticket for execution. The case study page describes the underlying approach as decision intelligence built on a graph-based system for linking related product signals and documents.
Pulls in customer feedback and work signals from Slack, Jira, and meetings so product teams can review them together instead of across disconnected tools.
Analyzes collected signals and surfaces a proposed next step with an evidence trail that ties the recommendation back to specific messages, tickets, or discussion points.
Assigns a RICE score with Reach, Impact, Confidence, and Effort fields so teams can compare proposed work using a common rubric.
Drafts a PRD from the selected signal set, including an objective and success metrics, to reduce the amount of manual specification writing required.
Pushes the resulting work into Jira and exposes the workflow through an MCP connection for IDE use, including Cursor, so teams can move from decision to implementation context.
Shows a walkthrough of the analysis flow from raw feedback to decision, including signal reading, analysis, and the final proposed action.
Aggregate repeated comments from Slack, support threads, and meeting notes into a single decision so product managers can see whether a request is a one-off or a recurring theme.
Compare candidate roadmap items using evidence and RICE fields when a team needs to decide what should be built next.
Turn a chosen initiative into a draft PRD with an objective and success metrics so the team has a starting point for spec writing.
Create a Jira ticket from the selected PRD and sync the context into a developer workflow, including IDE use through MCP-connected tooling.
Trace a decision back to its source messages, tickets, and meeting references when stakeholders need the reasoning behind a roadmap choice.
Radiq connects Slack, Jira, and meeting sources, then turns the collected signals into a decision workflow that produces evidence-backed recommendations and a draft PRD.
The source pages show Slack, Jira, and meetings as connected inputs. They also mention PDF, DOCX, CSV, and TXT ingestion in the case study material, but the public homepage is clearest about Slack, Jira, and meetings.
Radiq presents a prioritized recommendation with a RICE score, supporting evidence, and a draft PRD. The homepage example also shows a Jira ticket being created and synced into a developer IDE through MCP-connected workflows.
The pricing page currently returns a 404, so the public site does not provide active pricing details in the captured sources.
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