PishonIQ

AI Insights

How PishonIQ uses AI to explain your product data

PishonIQ goes beyond reporting metrics. It interprets your data and presents findings in language your entire team can understand and act on.

How it works

PishonIQ continuously analyzes your event stream for:

  • Drop-offs — Declines in conversions, signups, or retention
  • Anomalies — Unusual changes compared to established baselines
  • Funnel breaks — Steps where users abandon at higher-than-expected rates

When a meaningful pattern is detected, an insight appears on your dashboard with a clear explanation.

Example insight

Signups declined twenty-three percent on Tuesday. Checkout page load time increased from 1.2s to 4.2s. Mobile users were disproportionately affected.

Your team receives context—not just a number requiring further investigation.

Natural language queries

On the Pro plan, ask questions directly:

  • "Why did signups decline last week?"
  • "Which acquisition channel delivers the highest retention?"
  • "Which features do churned users rarely engage with?"

PishonIQ returns a written analysis supported by your data.

Churn prediction

PishonIQ monitors behavioral signals associated with cancellation—reduced session frequency, feature abandonment, support patterns—and surfaces alerts while intervention is still possible.

Notifications appear in your dashboard and can be delivered to Slack or email on the Pro plan.

Funnel analysis

Track a conversion sequence:

PishonIQ.track('signup_started')
PishonIQ.track('email_verified')
PishonIQ.track('onboarding_completed')
PishonIQ.track('subscription_created')

PishonIQ maps these into a funnel and highlights the step with the greatest drop-off, including AI-generated commentary.

Recommendations for better insights

  1. Track consistently — A stable event schema improves analysis quality over time.
  2. Enrich with user properties — Plan, role, and acquisition source enable more precise explanations.
  3. Review insights regularly — Many teams spend a few minutes each morning scanning new findings.

Support

For assistance, contact support@pishoniq.com or visit our community channels.