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Your Amplitude product analytics dashboard, grounded in every event.

DAU, MAU, activation rate, feature adoption, and session depth modeled from your Amplitude events, sessions, and cohorts, so the engagement numbers tie back to the product.

See how to build one in Definite

What’s in a amplitude product analytics dashboard?

A product analytics dashboard modeled on Amplitude events, active-user counts, sessions, and cohorts. Each metric — DAU, MAU, DAU/MAU ratio, activation rate, feature adoption — is derived from Amplitude's event stream, governed in the warehouse so there is one definition of engagement.

Amplitude's built-in charts answer individual questions, but the engagement picture fragments across charts, cohorts, and saved analyses. When DAU, MAU, and activation come from one governed model on the same Amplitude event data, you catch the adoption drop in one view instead of toggling between dashboards.

Who it’s forProduct leaders, PMs, and growth teams who use Amplitude and own the engagement and adoption numbers.

CadenceRefreshed daily; reviewed in the weekly product review and before roadmap planning.

Built fromAmplitude

§ How it works

Describe your dashboard. Fi builds it.

Fi is the AI agent inside Definite. Tell it what you’re trying to understand, and it connects your sources, defines the metrics, and builds the dashboard. One conversation, not a project.

You

Show me product engagement from our Amplitude data — DAU, MAU, activation rate, feature adoption, and session depth, tied to the events.

✦ Fi

Here's your amplitude product analytics dashboard, on your Amplitude data.

Here’s what’s in it

The top row leads with the 4 numbers that matter most: DAU, MAU, DAU/MAU ratio, Activation rate. Each shows a delta versus the prior period so you can see direction at a glance. Below that, 2 trend charts (MAU over time, Feature adoption trend) show how the headline numbers have moved over time. A breakdown (DAU by segment) splits the metric by dimension so you can see what's driving the total. A detail table (Engagement summary) rounds it out with the secondary metrics and their deltas. Every number is computed from the exact formulas shown in the metric table below. Composites are derived from their components, not pasted in, so the KPI tiles, breakdowns, and totals all reconcile to each other.

Illustrative data

DAU

3.9K▼ 4.2%

Data ▾

Period	DAU
Jan	2.4K
Feb	3.1K
Mar	2.8K
Apr	2.9K
May	2.9K
Jun	3.1K
Jul	4.0K
Aug	3.5K
Sep	4.1K
Oct	5.0K
Nov	4.1K
Dec	3.9K

MAU

27.1K▲ 25.3%

Data ▾

Period	MAU
Jan	14.4K
Feb	13.7K
Mar	14.5K
Apr	16.9K
May	17.5K
Jun	18.0K
Jul	17.0K
Aug	20.3K
Sep	20.4K
Oct	22.2K
Nov	21.6K
Dec	27.1K

DAU/MAU ratio

14.4%▼ 23.6%

Data ▾

Period	DAU/MAU Ratio
Jan	16.5%
Feb	22.4%
Mar	19.4%
Apr	17.4%
May	16.8%
Jun	17.4%
Jul	23.4%
Aug	17.2%
Sep	20.2%
Oct	22.3%
Nov	18.8%
Dec	14.4%

Activation rate

5507.1%▲ 0.7%

Data ▾

Period	Activation Rate
Jan	4443.7%
Feb	4046.8%
Mar	3937.8%
Apr	4512.8%
May	5013.9%
Jun	4712.9%
Jul	5178.9%
Aug	5145.0%
Sep	4903.0%
Oct	5381.5%
Nov	5468.1%
Dec	5507.1%

MAU over time

Data ▾

Period	MAU
Jan	14.4K
Feb	13.7K
Mar	14.5K
Apr	16.9K
May	17.5K
Jun	18.0K
Jul	17.0K
Aug	20.3K
Sep	20.4K
Oct	22.2K
Nov	21.6K
Dec	27.1K

DAU by segment

Data ▾

Segment	DAU
Enterprise	788
Mid-Market	1.6K
SMB	1.5K

Feature adoption trend

Data ▾

Period	Feature Adoption
Jan	3422.6%
Feb	4068.8%
Mar	3641.7%
Apr	3630.2%
May	3946.7%
Jun	3988.9%
Jul	4580.9%
Aug	3726.3%
Sep	4290.4%
Oct	4061.3%
Nov	4529.4%
Dec	4297.7%

Engagement summary

DAU/MAU Ratio14.4%▼ 23.6%

Activation Rate5507.1%▲ 0.7%

Avg Session Duration14▼ 1.6%

✦ Fi

Anything else I can do for you?

You

Why did DAU/MAU ratio drop this month?Which feature event has the highest adoption, and which is being ignored?Trace this month's DAU back to the events in Amplitude.What is activation rate for the Amplitude cohort that churns the most?Break MAU out by plan tier instead of the total.Which session-depth patterns in the first week predict expansion versus churn?Break DAU by Amplitude cohort so I can see which user segment is most engaged.Add feature adoption by event name and flag anything under 20%.Show activation rate trend by Amplitude cohort over the past six months.

Schedule a demo →Start this conversation with your data →

First version in a dayFree to start, flat pricingNo infrastructure to set up

§ Why the numbers tie out

Every metric traces back to your systems

This is the part a BI tool can’t fake. Each metric is defined once, in your warehouse, from a specific object in a specific source. Change the definition in one place and every tile, report, and answer moves with it. So the number on the screen is the number in the source.

Amplitude

◆ EventDAUMAUDAU/MAU RatioActivation RateFeature Adoption

◆ SessionDAUMAUDAU/MAU RatioAvg Session Duration

Metric	What it measures	How it's calculated	Sources
DAU/MAU Ratio	—	DAU ÷ MAU	Amplitude

§ Then do something about it

Have our agent watch for you

A amplitude product analytics dashboard tells you what happened, and Fi tells you why. The last step is not having to remember to check. Point Definite at the one number you can’t afford to miss, and it watches that number for you off the same definitions as your dashboard. When it moves, you hear about it before the next review instead of during it. One metric, one action, always reversible.

See how autonomous agents work →

Agents for this stack

Amplitude agent →

Autonomous agent · watch churn

Watch

A metric you choose

net revenue churn

→

Judge

One condition

> 5% week-over-week

→

Act

One action

alert #revenue + open doc

◄──── then waits · cooldown 24h before it can act again ────

Scoped to a single metric and a single action. You arm it; you can disarm it anytime.

§ The data that powers it

Built from whatever you already run on

Connect the systems you already use. Any source of these types works, and you don’t move data into a warehouse, because Definite is the warehouse.

Product Analytics14

Amplitude

Google Analytics (GA4)

No warehouse to stand up or connect. See how the platform models your data →

§ Get started

Build your amplitude product analytics dashboard

From signup to a working dashboard in one sitting. No data team required.

Sign up

Free to start. No credit card, no infrastructure to set up.

Create your account →

Connect your sources

Stripe, your CRM, accounting. Definite syncs and models them automatically.

Decide your metrics

Pick the numbers that matter or let Fi propose them from your data. Every metric gets one definition, governed in one place.

Ask Fi to build it

Describe what you need in plain language. Fi builds the dashboard, and you refine by asking follow-ups.

§ FAQ

Common questions

Usually because Amplitude defines an active user by any event firing, while downstream BI queries may add session-length or identification thresholds. The reconciliation map above shows which Amplitude event objects each metric comes from, so there is one governed definition of DAU and MAU in the warehouse.

Amplitude for events, sessions, active users, and cohorts. Definite syncs your Amplitude project data and models the engagement metrics. No other sources are required, though you can add a CRM for account-tier breakdowns.

It is a live ECharts dashboard running on a deterministic synthetic dataset, labeled illustrative. DAU/MAU ratio is computed from DAU and MAU by the formula in the metric table. Connect Amplitude and Fi builds the same view from your event data.

Type a prompt like the one above. Fi connects your Amplitude project, models the engagement metrics from events and sessions, and you refine by asking follow-ups. The first version ties engagement to the event data without a SQL query.

Yes. Amplitude cohorts sync as segments, so you can break DAU, MAU, and activation rate by any cohort you have defined in Amplitude. Ask Fi to add a cohort dimension to any tile.