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Radiq

Radiq is a decision engine for product teams that connects Slack, Jira, and meetings to recommend what to build next with RICE and a draft PRD.

Radiq

What is Radiq?

Radiq is a decision engine for product teams that helps turn customer and product signals into actionable product decisions. It connects to team work tools (notably Slack and Jira, along with meetings) and uses what customers say to identify what to build next.

The core purpose of Radiq is to support product planning with evidence and prioritization outputs, including RICE scoring and draft PRD content, so teams can align on next steps using documented rationale.

Key Features

  • Connect Slack and Jira: Pulls information from where teams collaborate and track work to support product planning with context.
  • Reads what customers say: Uses customer-facing inputs to derive the basis for product decisions.
  • Evidence-based "what to build next": Produces recommendations grounded in the collected signals rather than general brainstorming.
  • RICE scoring: Applies RICE-style prioritization to help compare and rank initiatives.
  • Draft PRD generation: Outputs a draft PRD that teams can review and refine for execution.

How to Use Radiq

  1. Connect your tools: Link Slack and Jira (and ensure your meetings are available to the workflow described by Radiq).
  2. Let Radiq ingest customer input: Make sure the customer-facing information Radiq is designed to read is accessible through the connected sources.
  3. Review recommendations: Examine "what to build next" outputs that include supporting evidence.
  4. Use prioritization and planning artifacts: Look at RICE scoring results and the draft PRD to shape your product plan.

Use Cases

  • Prioritizing product initiatives from ongoing customer feedback: A product manager uses Radiq to translate customer messages into a ranked list of potential work items using RICE scoring.
  • Turning recurring themes into PRDs: After Radiq identifies opportunities based on what customers say, the PM reviews the generated draft PRD and adapts it for stakeholder alignment.
  • Planning inside existing delivery systems: A team uses Slack and Jira context to connect customer-driven decisions to work tracking and execution planning.
  • Aligning product planning after team conversations: Product teams incorporate insights from meetings into the same decision workflow so recommendations reflect recent discussions.
  • Reducing manual summarization for planning: Instead of collecting and reconciling inputs across Slack, Jira, and meetings manually, teams use Radiq outputs (evidence, scores, draft PRDs) as starting points.

FAQ

  • What inputs does Radiq use to decide what to build next? The site indicates Radiq connects Slack and Jira and can incorporate meetings, and that it reads what customers say to inform recommendations.

  • Does Radiq provide prioritization and planning documents? Yes. The product description mentions RICE scoring and a draft PRD ready to go.

  • Who is Radiq intended for? It is positioned for product teams and product decision-making.

  • Where do the recommendations come from? Radiq is described as evidence-based and tied to what customers say, with outputs designed to show what to build next.

  • What is the typical workflow after you receive an output? Teams review the recommendation, use the RICE score for prioritization, and then work from the draft PRD for planning.

Alternatives

  • Customer feedback analysis tools: Platforms that aggregate and analyze customer feedback (from tickets, calls, surveys, or message sources) can help identify themes, but may not produce RICE scoring and draft PRDs tied to product execution workflows.
  • Product prioritization/spreadsheet-style RICE frameworks: Teams can run RICE manually using internal notes and spreadsheets; this can work without automated evidence linking, but requires more manual effort to gather input and draft PRDs.
  • PRD/document generation workflows: Tools that generate or template PRDs can accelerate writing, but may rely on user-provided inputs rather than automatically deriving what to build next from Slack/Jira/customer inputs.
  • BI/reporting and analytics platforms: Analytics tools can surface trends, yet they typically focus on reporting rather than converting signals into a prioritized "what to build next" workflow with RICE outputs and draft PRDs.