Sequel
Product

AI Data Analyst
for Product

Understand retention, feature adoption, and user behavior instantly — so your product team spends time building, not waiting for data.

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Use cases

Every product question, answered instantly.

From activation rates to cohort retention — ask in plain English and get the insight your next sprint needs.

What's our DAU/MAU ratio?Which features have the lowest adoption?Show retention curves by cohortWhat's our NPS trend this quarter?Which user segments churn most?How are users engaging with the new feature?What's our activation rate?Show drop-off in our onboarding funnelWhich features correlate with retention?How long until users reach the aha moment?What's our DAU/MAU ratio?Which features have the lowest adoption?Show retention curves by cohortWhat's our NPS trend this quarter?Which user segments churn most?How are users engaging with the new feature?What's our activation rate?Show drop-off in our onboarding funnelWhich features correlate with retention?How long until users reach the aha moment?
What's our 30-day retention by acquisition channel?Which power users engage with the product most?Show me the MAU growth trendWhat's our stickiness ratio?How many users completed onboarding this week?Which features are used together most often?What's our average session length by plan?Show me the top user paths to conversionWhich cohort has the best 90-day retention?What's our feature request volume by segment?What's our 30-day retention by acquisition channel?Which power users engage with the product most?Show me the MAU growth trendWhat's our stickiness ratio?How many users completed onboarding this week?Which features are used together most often?What's our average session length by plan?Show me the top user paths to conversionWhich cohort has the best 90-day retention?What's our feature request volume by segment?
Show me churn reasons by segmentWhat's our time-to-value for new users?How has NPS changed after the last release?Which users are most likely to expand?Show engagement by user roleShow me churn reasons by segmentWhat's our time-to-value for new users?How has NPS changed after the last release?Which users are most likely to expand?Show engagement by user role
Retention

See exactly who stays — and why

Cohort analysis used to require a data engineer and a waiting period. With Sequel, any PM can ask 'show me 90-day retention by signup month' and get an interactive chart in seconds.

  • Cohort retention curves across any time window
  • Filter by plan, channel, region, or any user property
  • Spot retention changes after feature releases or pricing updates
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Engagement & adoption

Know which features your users actually love

Stop guessing what to build next. Ask Sequel which features your best users rely on, which ones get ignored after the first try, and which usage patterns correlate with long-term retention.

  • Feature adoption ranked by usage frequency and breadth
  • Cross-feature correlation — what power users do together
  • Segment by any user attribute to find adoption gaps
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Capabilities

Built for product teams

Cohort Retention Analysis

Visualize retention curves by signup cohort, acquisition channel, or plan tier — and identify which changes are moving the needle.

Funnel Drop-off

Pinpoint exactly where users abandon your onboarding or activation flow with step-by-step funnel breakdowns.

Time to Value

Measure how quickly users reach their first meaningful moment in your product — and find what's slowing them down.

Feature Adoption Tracking

Rank features by adoption rate, identify which power users rely on and which get ignored, and prioritize your roadmap accordingly.

User Segmentation

Break down engagement by plan tier, acquisition source, or any behavioral attribute — to understand who your product is truly working for.

DAU/MAU & Stickiness

Track your product's engagement health with daily and monthly active user trends, stickiness ratios, and session depth.

NPS & Satisfaction Trends

Correlate NPS scores with feature usage, cohort, and plan type to understand the drivers of satisfaction and churn.

Release Impact Analysis

Measure how each product release affects engagement, retention, and key activation metrics across user segments.

FAQ

Frequently asked questions

Can non-technical PMs actually use this without knowing SQL?

That's exactly what Sequel is built for. PMs type questions the way they'd ask a data analyst — 'Show me 30-day retention for users who used the new feature in their first week' — and Sequel handles the SQL, the joins, and the chart. No training required beyond knowing how to type a question.

Our product database is large — will queries be slow?

Query speed depends on your database infrastructure, not Sequel. Sequel generates optimized SQL and pushes computation to your database engine — it doesn't move data or run queries on its own servers. If your warehouse supports fast analytical queries, Sequel results will be fast too.

How does Sequel handle privacy when querying user behavior data?

Sequel connects to your own database — your data never leaves your infrastructure. You control which tables are accessible, so you can restrict PII columns or point Sequel at anonymized views. Access is governed by your existing database permissions, not a third-party data store.

We already use Mixpanel or Amplitude — why would we also need Sequel?

Dedicated analytics tools are great for event-level clickstream data. Sequel shines when you need to cross your product data with other sources — billing records, CRM data, support tickets, or custom backend tables that don't exist in your event tracker. If your question spans more than one system, Sequel handles it.

Can Sequel automatically build retention cohorts without configuration?

Yes. Tell Sequel which table contains user events and which field marks the signup date, and it can build cohort retention tables from scratch — no pre-configured funnels or saved reports needed. You can slice by acquisition channel, plan type, or any user attribute in the same question.

How does Sequel help us measure the impact of a feature release?

Ask Sequel to compare engagement, activation, or retention metrics before and after the release date. You can segment by users who adopted the feature vs those who didn't, compare cohorts, and measure downstream effects on churn or expansion — all in plain English, without setting up a formal experiment.

Can multiple PMs and engineers use Sequel at the same time?

Yes. Sequel supports multi-user workspaces where team members can run their own queries, save and share results, and build on each other's work. Each user connects to the same data source but works independently — no query conflicts or shared session state.

Ship with confidence

Connect your product data and get your first retention insight in under two minutes.

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