Your error tool doesn't know who your user is.
Your analytics tool doesn't know the backend broke.
NavFlow knows both. An AI tool that connects your error tools, your analytics, and your deploys, and tells you what silently changed when a metric moves and no alert fires.
- that the product is silently behaving differently
- that 31% of SKUs lost a field
- that anything changed at all
- users changed their minds, or
- the product changed under them?
- what shipped that caused it?
sees bothSilent contract change. Not user behavior.
Pick a scenario. See what lands in Slack.
Each example walks through one agent's reasoning chain. The card at the bottom is the message NavFlow would post.
Click Run agent to step through the agent's reasoning.
Your metric moved. Now you know why.
A basket size dips. An activation funnel softens. A release lands flat. An experiment is ready to call. NavFlow runs the diagnosis behind the dashboard line, and posts the cause to where you decide.
- cause
- PR #4521 changed RecommendationsResponse
- fields
- priceWithDiscount null for 31% of SKUs
- since
- v4.13 · deployed 24m ago
produces the silent product change behind a moving metric
Silent Regression Watcher
The most expensive thing that can happen to a product manager: a deploy goes green, Sentry stays quiet, QA passed, and a metric you own starts moving anyway. Silent Regression Watcher catches the contract changes, feature drops, and config flips your engineering tools won't fire on. You see the cause attributed to a PR or an API contract diff, not just the symptom on your dashboard. It's the one agent that needs to read both your shipping signals and your product signals to do its job.
- cause
- /welcome p95 latency up +1.4s since v4.13
- errors
- none on onboarding routes (last 24h)
produces an activation drop diagnosis, by cohort and root cause
Activation Diagnoser
Activation drops are diagnostic landmines: which cohort, which platform, which step, what changed. Activation Diagnoser correlates onboarding drops with recent releases, performance regressions on onboarding routes, and feature-flag flips. New users are the cohort that silent regressions hit first, because their flow is the most brittle and the least familiar to the team. By the time activation drops show up in your weekly review, the cause has been live for a week.
- why flat
- flag cart-cta-v2 ramped to 38% (target 100%)
- exposure
- 38% of users saw the new CTA
produces a verdict on a release against the metric it promised to move
Release Impact
Every production release gets graded against the metric the PR was supposed to move. Release Impact joins the deploy boundary to the metric you own, rules out errors as the cause, and surfaces when a feature shipped but didn't land. The most common reason is the most expensive: you shipped X, the metric stayed flat, and nobody noticed because no alert fired. Often the cause is a flag that didn't ramp, a target audience that was filtered out, or a silent regression the release introduced.
produces a ship/hold/kill verdict, with the caveats the primary metric won't surface
Experiment Verdict
Significance on the primary metric isn't a ship decision. Experiment Verdict reconciles your A/B against revenue per converter (not just count), variant-specific error rates, and unrelated deploys that contaminated the window. The reconciliation is the value: it's the difference between shipping a variant that lifts signups but suppresses revenue, and shipping one that genuinely moves the business. One experiment at a time, posted to Slack, with the caveats PostHog can't surface.
No charts. No dashboards. Just verdicts.
Connect the tools you already use, pick what to watch, get verdicts where you already work.
- follows the same user across tools
- reads what changed and when
- ties metric drops to shipping events
- writes a verdict you can act on
The product manager whose dashboard moved, and whose alerts didn't fire.
The product manager who feels a metric move before anyone else, and has to figure out, themselves, what changed.
- You open Mixpanel and Sentry in the same morning, looking for the same answer.
- You answer "did the product change, or did the users?" before anyone else does.
- You match funnel drops to whatever shipped that morning. By hand.
- You translate what shipped for leadership and what dropped for engineering, sometimes in the same Slack thread.
- You don't have a data team to hand this off to, and engineering is heads-down on the next sprint.
- You care about what actually moved the metric, not just one tool's view of it.
Free for one. Per seat once you're a team.
Pricing at launch. Early-access teams keep founder pricing for the first 12 months.
Free
For one PM testing on a single project.
- Just you
- 1 agent enabled
- 100 verdicts / month
- Verdicts to Slack
- Community support (Slack)
Team
For teams that own product, ops, and customer in one room.
- Add teammates
- Every pre-built agent
- Unlimited verdicts
- Verdicts to Slack, email, CRM
- Reads from every source
- Priority support (24h response)
Custom
For larger orgs that need self-hosted, SSO, or their own agents.
- Everything in Team
- Custom agents
- Self-hosted option
- Security review & SSO
- Dedicated CSM + Slack channel