Bicycle turns revenue and conversion changes into impact-ranked insights, shows the most likely causes (with evidence), and routes the next step to the right owner.
Alerts fire, dashboards disagree, and nobody knows what's real.
"Why did it move?" becomes days of slicing and debate.
Even when you see the drop, routing it to the right team is hard.
Outcomes live in KPIs; causes live in logs, releases, partners, and ops.
Changes ship, but attribution is shaky—so learning is slow.
Insights live in dashboards; work lives in tickets, docs, and runbooks.
"Tell me what changed, why it happened, who owns it—and what we should do next."
Three capabilities: onboard a shared ontology, run continuous pattern + cause analysis, and deliver governed self-serve outputs (alerts, stories, Q&A) to the business.
Only what's material, with owners and next steps
Most alerts say 'something is down' but don't say where, why, or who owns the slice. Triage becomes opinion-driven and slow.
Bicycle detects meaningful change, ranks by business impact, proposes likely causes with evidence, and routes the alert to the right owner (market, product, partner, device, cohort).
Clear owner routing (no more 'who takes this?')
Ranked cause list with supporting evidence
Recommended next steps that are safe and reversible
Measured impact after the fix
'Checkout conversion down 1.2% — Android mobile web — Northeast. Likely drivers: payment step slower, partner decline rate up, promo mix shift. Routed to: Checkout PM + Payments owner.'
'Revenue down. See dashboard.' (No slice, no ownership, no cause, no action.)
Weekly narratives for reviews and priorities
Reviews often become a tour of dashboards. It’s hard to separate real drivers from noise and align teams on what matters.
Bicycle generates a clear story: what moved, which segments drove it, the most likely causes, and what to keep, fix, or test next — with owners.
Faster weekly business reviews (fewer follow-ups)
Clear driver decomposition by segment and funnel step
Shared language across business + engineering
A measurable backlog of bets with owners
“Weekly revenue story: growth came from returning customers in the West; new-customer conversion fell on Android after a release; top fix is reducing checkout latency.”
A slide deck full of charts that leaves everyone asking: “So what do we do next?”
Ask in plain English, get answers you can trust
Ad-hoc questions pile up. Leaders wait for analysts to reconcile definitions and slice data before decisions can happen.
Bicycle answers on approved definitions and provides an evidence-first explanation — so decisions don’t depend on a one-off query or a mystery dashboard.
Faster decisions without an analyst queue
Consistent KPI definitions across teams
Evidence-first answers with drill-down paths
Guardrails via permissions + audit trail
“Why did revenue drop yesterday?” → Top drivers, impacted segments, and the next questions to confirm.
Conflicting answers across dashboards and a long thread of “which number is right?”
Bicycle doesn't replace BI, ticketing, or monitoring. It connects them—so insights arrive with owners, evidence, and a next step that's ready to execute.
Start with alerts. Add stories and Q&A as adoption grows.
Track time-to-value and outcome metrics per use case: faster onboarding, faster RCA, higher adoption, and measurable revenue/cost/risk impact.
Time to understand why a KPI moved
Time to understand why a KPI moved
From alert to action started
Impact measured after the fix ships
Weekly reviews get shorter. You see ranked drivers, not dashboard tours—and walk out with owners assigned, not follow-ups pending.
Less thrash. Alerts come with context and a next step, so you're fixing—not re-triaging or debating whose problem it is.
In one working session, we'll pick a KPI you care about and show a sample workflow: what moved, why it likely moved, who owns it, and the next safe step—with an evidence trail.
Bicycle is an agentic analytics platform designed for B2C revenue optimization
