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Product Analytics & Feature Adoption Power BI template

Dark Power BI product analytics template: DAU, stickiness (DAU/MAU), activation funnel, feature adoption by plan and a week-by-week retention cohort table.

By · Founder & Reliability Engineer · Updated

Free for commercial use

Light version: same layout, colours re-solved and checked for WCAG AA contrast.

Product Analytics & Feature Adoption Power BI dashboard template: 4 KPI cards, a line chart, a funnel, a bar chart, a matrix and 2 slicers on a 1280×720 page

BetaOpens in Power BI Desktop with 9 tables of sample data and every visual bound. See what’s inside

Free, no sign-up. The PBIP with sample data includes the background, theme and a README. 1920×1080 fits a new page in a Fluent 2 report; 1280×720 and 2× fit Classic pages. Downloads carry a small “Made with VizForge” mark (sign in to the studio to remove it).

Customise in the design studio →
Layout
Plain header, 4 bold KPIs, daily active users + activation funnel, feature-adoption bars + retention cohort matrix
Page size
1280×720 px (16:9, Power BI default)
Theme
Carbon Neon

Open the sample-data PBIP in Power BI Desktop

Checked against Microsoft Learn's Power BI Desktop projects documentation (as of Nov 2026).

  1. 1

    Unzip to a short path and open the .pbip

    Extract the zip to a short local folder such as C:\PBI (Windows limits project paths to 260 characters, and Desktop can't save a project straight to OneDrive or SharePoint), then double-click the .pbip file or use File → Open in Power BI Desktop. Microsoft still lists projects and TMDL as preview features (as of Nov 2026): if Desktop won't open the project, go to File → Options and settings → Options → Preview features, tick “Power BI Project (.pbip) save option” and “Store semantic model using TMDL format”, then restart Desktop.

  2. 2

    Select Refresh once

    The project ships without the local data cache (.pbi/cache.abf), so Desktop opens the full model definition without data. Select Home → Refresh: every table is built from values written into its Power Query step, so there is no data source to sign in to.

  3. 3

    Save as .pbix or connect your data

    Use File → Save as to keep a single .pbix file, or open Transform data and replace each table's Source step with your own query, keeping the column names so the measures and visuals keep working.

What’s inside the Product Analytics sample model

Rendered from the same definition the download writes as TMDL, so this list always matches the file.

Tables
9
Fact rows
519
DAX measures
8

Six weeks of product usage for a fictional work-management app (to 31 Oct 2026): daily active users and trailing-28-day active users by plan and platform, monthly feature adoption among active accounts, an activation funnel for weekly sign-up cohorts, and week-by-week retention for six cohorts. Units: Users and accounts.

Tables and columns

Calendar

Date table · 2026, one row per day

Date table generated in Power Query (List.Dates), marked as the model's date table.

  • Date (date)
  • Year (whole number)
  • Quarter (text)
  • Month (text)
  • Month Name (text)
  • Week Start (date)
  • Weekday (text)
  • Fiscal Year (text)

Plan

Dimension · 3 rows

Subscription plans.

  • Plan (text)

Platform

Dimension · 3 rows

Where the product is used.

  • Platform (text)

Feature

Dimension · 8 rows

Product features tracked.

  • Feature (text)

Activation Step

Dimension · 4 rows

Onboarding milestones in order.

  • Step (text)
  • Step Order (hidden, used by DAX) (whole number)

Daily Usage

Fact · 378 rows

Daily active users and trailing-28-day active users per plan and platform.

  • Date (date)
  • Plan (text)
  • Platform (text)
  • DAU (whole number)
  • MAU (whole number)

Feature Usage

Fact · 48 rows

Accounts using each feature among active accounts, per month and plan.

  • Month (date)
  • Feature (text)
  • Plan (text)
  • Accounts Using (whole number)
  • Active Accounts (whole number)

Activation

Fact · 72 rows

Accounts from each weekly sign-up cohort reaching each onboarding step.

  • Cohort Week (date)
  • Plan (text)
  • Step (text)
  • Accounts (whole number)

Retention

Fact · 21 rows

Active accounts in each week after sign-up, per cohort.

  • Cohort Week (date)
  • Week Number (whole number)
  • Cohort Size (whole number)
  • Active Accounts (whole number)

Relationships

Many-to-one, single direction. Inactive relationships are switched on inside a measure with USERELATIONSHIP.

  • 'Daily Usage'[Date] → 'Calendar'[Date]
  • 'Daily Usage'[Plan] → Plan[Plan]
  • 'Daily Usage'[Platform] → Platform[Platform]
  • 'Feature Usage'[Month] → 'Calendar'[Date]
  • 'Feature Usage'[Feature] → Feature[Feature]
  • 'Feature Usage'[Plan] → Plan[Plan]
  • Activation[Cohort Week] → 'Calendar'[Date]
  • Activation[Plan] → Plan[Plan]
  • Activation[Step] → 'Activation Step'[Step]
  • Retention[Cohort Week] → 'Calendar'[Date]

DAX measures

All measures live in a dedicated Key Measures table. Copy any of them into your own model; rename the table and column references to match.

DAUAverage daily active users.
DAU =
AVERAGEX ( VALUES ( 'Calendar'[Date] ), CALCULATE ( SUM ( 'Daily Usage'[DAU] ) ) )

Format string: #,0

MAUAverage trailing-28-day active users.
MAU =
AVERAGEX ( VALUES ( 'Calendar'[Date] ), CALCULATE ( SUM ( 'Daily Usage'[MAU] ) ) )

Format string: #,0

Stickiness (DAU/MAU)Share of monthly users active on a given day.
Stickiness (DAU/MAU) =
DIVIDE ( [DAU], [MAU] )

Format string: 0%

Feature Adoption %Active accounts using the feature.
Feature Adoption % =
DIVIDE ( SUM ( 'Feature Usage'[Accounts Using] ), SUM ( 'Feature Usage'[Active Accounts] ) )

Format string: 0%

Accounts Reaching StepAccounts that reached the onboarding step.
Accounts Reaching Step =
SUM ( Activation[Accounts] )

Format string: #,0

Activation RateSign-ups who reached the last onboarding step.
Activation Rate =
DIVIDE (
    CALCULATE ( [Accounts Reaching Step], 'Activation Step'[Step Order] = 4 ),
    CALCULATE ( [Accounts Reaching Step], 'Activation Step'[Step Order] = 1 )
)

Format string: 0%

Retention %Cohort accounts active in that week.
Retention % =
DIVIDE ( SUM ( Retention[Active Accounts] ), SUM ( Retention[Cohort Size] ) )

Format string: 0%

Week-4 RetentionAccounts still active four weeks after sign-up.
Week-4 Retention =
CALCULATE ( [Retention %], Retention[Week Number] = 4 )

Format string: 0%

What each visual is bound to

The PBIP opens with these fields already on each visual.

Field bindings per visual
VisualFields
PlanSlicerPlan[Plan]
PlatformSlicerPlatform[Platform]
Daily active usersCard[DAU]
Stickiness (DAU/MAU)Card[Stickiness (DAU/MAU)]
Activation rateCard[Activation Rate]
Week-4 retentionCard[Week-4 Retention]
Active users by dayLine chartCalendar[Date], [DAU], [MAU]
Activation funnelFunnel'Activation Step'[Step], [Accounts Reaching Step]
Feature adoptionBar chartFeature[Feature], [Feature Adoption %]
Retention by sign-up cohortMatrixRetention[Cohort Week], [Retention %], Retention[Week Number]

Questions this dashboard answers

Each one is answered by a visual on the page, from the sample model's own tables and measures.

About this dashboard layout

Product teams need to know whether people find value fast and keep coming back. The cards cover both ends: daily active users, stickiness (average daily over average 28-day active users), activation rate (sign-ups who reach the last onboarding step) and week-4 retention.

Active users by day plots DAU against the trailing 28-day count. Weekends dip in a work product, which is why stickiness is averaged over the days in context rather than read off one day. The activation funnel follows sign-ups through creating a board, inviting a teammate and using a template or automation; the invite step is usually where most accounts stop.

Feature adoption ranks features by the share of active accounts using them each month, and the Plan slicer shows whether paid plans use the features they pay for. The retention matrix has sign-up cohorts as rows and weeks since sign-up as columns; with a colour scale it becomes the classic cohort triangle, where better onboarding shows up as darker cells in the later rows.

The sample is six weeks of usage for a fictional work-management app with three plans and three platforms; AI summaries adoption jumps in October after a launch.

Visuals on the page

Positions are Power BI page pixels. Enter them in Format → General → Properties → Size and position, or use the PBIP download where they are already set.

Visual positions in the Product Analytics & Feature Adoption template
VisualTypeXYWidthHeight
PlanSlicer9202416040
PlatformSlicer10962416040
Daily active usersCard4012026464
Stickiness (DAU/MAU)Card35212026464
Activation rateCard66412026464
Week-4 retentionCard97612026464
Active users by dayLine chart40232704200
Activation funnelFunnel792232448200
Feature adoptionBar chart40480456200
Retention by sign-up cohortMatrix544480696200

Custom visuals for this layout

Built-in Power BI visuals cover most slots above. These slots also suit a custom visual; each page covers the data shape, DAX and a prompt to generate it as a .pbiviz.

Already have a report?

Brand Makeover tries Product Analytics & Feature Adoption first on every page of your Power BI project (.pbip zip) where it fits: the page's visuals have to go into its 8 data slots without overlaps. Pages it can't seat get another catalog layout or a brand grid. Queries, filters and bookmarks are left as they are. Free, in your browser.

Opens with the Analyst / Dense preset, because the Executive preset doesn't use this layout (8 data slots; this preset uses templates with at most 7).

Restyle my report into this

Swap a slot for a custom visual

Pick any slot and VizForge AI writes a custom visual (.pbiviz, with TypeScript source) sized to it, in this template's colours and shaped for the fields it is bound to.

Generate one that fits this layout.

Card · 264×64 px · bound to [DAU]

1, 2 or 5 credits depending on the brief · 5 free on signup. Sign in or create a free account on the next screen; the brief is saved for 30 minutes.

Brief sent to the generator (you can edit it there)

A Power BI card visual titled "Daily active users". It sits in a 264×64 px slot on a designed report page. Match the report's brand: data colours #C6FF3D, #FF3DAD, #3DD6FF, #A26BFF, #FF9A3D, #3DFFB0; background #15151C; text #F4F4F8; font Segoe UI. Transparent visual background so the page design shows through; no visual border. In the sample model it is bound to [DAU]; keep the same data roles so the fields drop straight in.

Not sure what to build? Browse the visual catalog or open the template in the design studio and hand off any slot from there. Or start in the AI generator with a blank brief.

Colours and theme

Carbon Neon

Neon-on-carbon dark Power BI theme: electric lime, magenta, cyan and violet data colours on near-black for gaming, esports, tech-startup and launch dashboards.

See the Carbon Neon palette and contrast checks →

Use the background in an existing report

Prefer to keep your own report? Apply the design to it instead of opening the PBIP.

  1. 1

    Download the background

    Take the 1920×1080 PNG for a new page in a Fluent 2 report (the default size for new pages), or the 2× PNG (2560×1440) for sharp text on a 1280×720 Classic page. Power BI scales the image to the canvas.

  2. 2

    Set the canvas background

    Format page → Canvas background → Browse. Set Image fit to Fill and transparency to 0%.

  3. 3

    Import the theme

    Design ribbon → Import theme (in the Power BI service: View → Theme pane), then pick the downloaded JSON. Data colours and fonts now match the design. Older Desktop builds: View → Themes → Browse for themes.

  4. 4

    Place your visuals

    Size each visual to the positions above with background and border off, or open the PBIP project where they are already placed.

Questions about this template

Does the Product Analytics & Feature Adoption template come with sample data?

Yes. The “PBIP with sample data” download contains a semantic model with 9 tables and 8 DAX measures, and every visual on the page is already bound to it. The sample: Six weeks of product usage for a fictional work-management app (to 31 Oct 2026): daily active users and trailing-28-day active users by plan and platform, monthly feature adoption among active accounts, an activation funnel for weekly sign-up cohorts, and week-by-week retention for six cohorts. The data is written into each table's Power Query step, so there is no data source or sign-in.

Is it a .pbix file?

It is a Power BI project (PBIP): a folder of text files that Power BI Desktop opens like a .pbix. Open the .pbip file, select Refresh once to load the sample rows, then use File → Save as if you want a single .pbix.

What visuals are in the Product Analytics & Feature Adoption template?

The page has 10 visual areas: 2 slicers, 4 cards, 1 line chart, 1 funnel, 1 bar chart, 1 matrix. Their exact positions are listed on this page so you can match them in Power BI's Format → General → Properties panel, or skip that step by downloading the PBIP project.

Which theme does the Product Analytics & Feature Adoption template use?

It ships with the Carbon Neon theme (dark tone). Download the theme JSON here, or open the template in the design studio and switch to any other theme or your own brand colours.

Is there a light version of the Product Analytics & Feature Adoption template?

Yes. Switch the preview to Light and every download (background, theme JSON and PBIP) comes in that version. The layout is identical; the page, card and text colours are re-solved for a light page, and the accent, status and data colours keep their hues but are adjusted until text meets WCAG AA (4.5:1) and chart colours reach 3:1 against the cards.

How do I use the background image in Power BI Desktop?

Select the page, open Format page → Canvas background, choose Browse and pick the PNG, then set Image fit to Fill and transparency to 0%. Give your visuals a transparent background and no border so the designed panels show through.

Can I open the PBIP project in Power BI Desktop?

Yes. PBIR is the default report format in Power BI Desktop since September 2026, and the download is a PBIP project: unzip it and open the .pbip file, select Refresh once and the sample data loads into visuals that are already bound (the empty PBIP leaves the containers unbound for your own data). Microsoft still lists projects and TMDL as preview features (as of Nov 2026), so if Desktop won't open it, enable them under File → Options and settings → Options → Preview features.

Build guides for this dashboard

Guides to the same dashboard job: which custom visuals it needs, the DAX behind them and prompts to generate them.

KPI cards for this layout

Headline numbers drawn by one DAX SVG measure each, for the Card visual or a table row.

Want the headline numbers to look like cards rather than plain values? Browse the KPI card gallery or build your own in the SVG measure builder.

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Make the Product Analytics & Feature Adoption template yours

Swap in your brand colours and logo, move panels, add icons and generate missing visuals with AI, then export the background, theme JSON and PBIP project.

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