Risk Radar: Spot Churn Before It Happens
Risk Radar is Specky's new proactive monitoring surface. It watches your product signals for early warning signs of customer risk — so you can act before it's too late.
Why reactive is not enough
Most product teams find out about churn risk at the worst possible time: during a renewal call. By then, the customer has already made up their mind. The signals were there weeks earlier — in support tickets, in call recordings, in declining usage — but nobody was watching.
Risk Radar changes that.
What it monitors
Risk Radar watches your Product Graph continuously and surfaces patterns that correlate with churn and dissatisfaction:
- Declining engagement: usage drop > 20% week-over-week for accounts above a certain ARR threshold
- Escalating sentiment: support tickets with negative sentiment increasing faster than your baseline
- Blocking issues: feature requests or bugs flagged as blockers by multiple users
- Silent accounts: enterprise customers who haven't logged in for > 14 days
Each risk is scored and explained. You always see why an account is flagged, not just a red dot.
The Risk Feed
The Risk Radar view has a feed of active risks, sorted by potential ARR impact. Each card shows:
- The account and contact(s) involved
- The signals that triggered the risk
- Suggested actions (reach out, escalate, ship a fix)
- A link to the relevant conversations and metrics
From signal to action
Risk Radar is not just a dashboard — it's connected to the rest of Specky. A flagged feature request can become an opportunity node in one click. A pattern of complaints can seed a research campaign for Alex. The whole workspace stays in sync.
Risk Radar is available now on Pro and Enterprise plans.
Keep reading
Most "AI Features" Shouldn't Be AI Features. Here's the Test That Tells You.
Most "AI features" shipped in 2026 are rules engines wearing an AI costume. Here's the four-question test to run before you spec one — and what it looks like when a feature fails all four.
The Product Velocity Illusion: Why Shipping Faster Hasn't Made Your Roadmap Better
AI collapsed the time it takes to build a feature, but not the time it takes to decide what to build or validate that it worked. The Three Clocks framework shows product teams where their real bottleneck moved — and how to stop mistaking build speed for progress.
Your Next User Might Not Be Human: A PM's Framework for Agent-Ready Products
Software is quietly picking up a second audience — AI agents acting on a human's behalf. Here's a framework for auditing whether your product actually works for both.