The Documentary Channels Dashboard in Power BI reports on 500 titles and 1,955 episodes across 5 interactive report pages, 15 charts and scorecards, and 22 DAX measures, with 5 slicers on every page. The sample model runs January to December 2025 and shows 116,572,000 views, 65,044,584 watch hours and $63.80M revenue. Setup takes under 10 minutes: point the model at your own catalog export and every page redraws.
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🔑 Key Features of the Documentary Channels Dashboard in Power BI
📺 Five themed report pages, five KPI cards each. Overview, Audience Trends, Genre & Format Mix, Production & Spend, and Channels & Platforms each carry five portrait KPI tiles down the left column. Every tile shows the current value, a month-over-month delta chip and a twelve-point lollipop sparkline, so a card reads as a number and a trend at the same time.
📊 22 measures written in DAX, not typed in. Total Viewership, Total Watch Hours, Completed Views, Completion Rate %, New Subscribers, Subscriber Conversion %, Avg. Watch Hours per Title, Total Revenue, Ad Revenue, Sponsorship Revenue, Revenue per 1K Watch Hours, Net Margin, Net Margin %, Production Budget, Marketing Spend, Total Spend, Return on Spend %, Cost per 1K Watch Hours, Total Titles, Total Episodes, Avg. Runtime Minutes and Avg. Audience Rating all recalculate together.
🎛 Slicers that survive a single-month pick. Date Range, Region, Genre and Platform sit on every page, plus one page-specific slicer — Channel, Format, Language, Production House or Status. The month-over-month logic uses ALL(‘Date’) on both sides of the comparison, so choosing one month still resolves the month before instead of blanking every delta chip.
🔍 A hidden Details drillthrough page and two tooltip pages. Right-click a chart element to drill into the underlying rows; hover a KPI or a trend point to get the Metric Detail or Trend Detail tooltip card without leaving the page.
🎨 A dark Steel & Ice theme measured for contrast. Body text sits at 13.5:1 on the card background, muted labels at 6.35:1 and the accent at 9.39:1. The two lowest ramp colors were removed from every series because they failed 4.5:1, so nothing on this report is unreadable on a projector.
📦 What Is Inside the Dashboard
Page 1: Overview
Total Views 116,572,000, Watch Hours 65,044,584, Total Revenue $63.80M, Net Margin % 49.3% and Audience Rating 3.7, with the Channel slicer. Charts are Watch Hours and Completion Rate by Month, the Channel Scorecard, and Revenue by Genre.
Page 2: Audience Trends
Completed Views 70,642,240, Completion Rate 60.6%, New Subscribers 1,666,576 and Watch Hours per Title 130,089, with the Format slicer. Charts are Views and Subscriber Conversion by Month, Views and Completed Views by Quarter, and the Platform Audience Scorecard covering Streaming App, YouTube, Linear TV and Partner OTT.
Page 3: Genre and Format Mix
Total Titles 500, Total Episodes 1,955 and Avg. Runtime 58.5 minutes, with the Language slicer. Charts are Watch Hours and Audience Rating by Genre across seven genres, the Genre Scorecard with star ratings, and Titles by Format — Feature Documentary 157, Limited Series 131, Episodic Series 124 and Short Doc 88.
Page 4: Production and Spend
Production Budget $25.94M, Marketing Spend $6.39M, Total Spend $32.33M, Cost per 1K Watch Hours $497 and Return on Spend 97.4%, with the Production House slicer. Charts are Spend and Return on Spend by Month, the Region Spend Scorecard across five regions, and Spend against Net Margin by Production House as a labelled bubble plot.
Page 5: Channels and Platforms
Total Revenue $63.80M, Ad Revenue $43.79M, Sponsorship Revenue $20.01M, Revenue per 1K Watch Hours $981 and Subscriber Conversion 1.4%, with the Status slicer. Charts are Revenue and Net Margin by Channel, the Language Reach Scorecard across six languages, and Revenue by Platform as a donut.
Page 6: Get More Dashboards
A closing page listing what is inside the file, the services NextGenTemplates offers, and a custom-dashboard request. It carries no data and can be deleted before you share the report internally.
📊 Documentary Channels Dashboard in Power BI vs. Tableau or Qlik vs. a Paid Media Analytics SaaS
| Feature | Documentary Channels Dashboard in Power BI | Tableau / Qlik build | Paid media analytics SaaS |
|---|---|---|---|
| Cost | ✅ $17.99 one-time | $70+ per creator / month, plus build time | $25–150 per user / month |
| Platform | Power BI Desktop (free) | Tableau Desktop or Qlik Sense licence | Vendor-hosted web app |
| Setup time | ✅ Under 10 minutes | 2–5 days to model and lay out | 1–3 weeks including data onboarding |
| Report pages included | ✅ 5 built, plus a drillthrough and 2 tooltip pages | Blank canvas | Fixed vendor pages |
| Customizable fields and visuals | ✅ Full — open the .pbix and edit any measure | Full | Limited to what the vendor exposes |
| Share with a link | Publish to your own Power BI Service workspace | Tableau Server or Cloud | ✅ Built in |
| Works offline on your laptop | ✅ Yes — the .pbix runs locally | Yes | No |
| Documentary-specific metrics | ✅ Completion rate, watch hours per title, cost per 1K watch hours, return on spend | You define them yourself | Generic media KPIs |
| Year-1 cost at 5 users | ✅ $17.99 total | $4,200+ | $1,500–9,000 |
For a channel group that wants completion rate and return on spend in one report without paying per seat every month, this dashboard sits in the sweet spot.
👥 Who This Template Is For and Who It Is Not For
✅ This template is built for:
- Programming and content leads at documentary channels, factual networks and streaming catalogs of roughly 50 to 2,000 titles
- Independent production houses that bill a distributor and need to show watch hours, completion rate and return on spend per title
- Distribution and licensing teams comparing revenue by platform, language and region
- Analysts who already have a catalog export in Excel or SQL and want a finished Power BI model rather than a blank canvas
❌ This template is NOT for:
- Anyone who needs live API feeds from YouTube, Netflix or an OTT partner — this model refreshes from a file or database connection you point it at, and it ships no connectors
- Teams without Power BI Desktop on Windows; the Excel edition is the better fit
- Rights and royalty accounting — there is no contract, window or residual logic here
- Single-title film budgeting; the model is built around a catalog, not one production
⚙️ How to Use the This Dashboard
- Unzip the download and open the .pbix file in Power BI Desktop, free from Microsoft.
- Open the bundled Data.xlsx to see the exact column layout the model expects.
- Replace the sample rows with your own titles, episodes, views, watch hours, revenue and spend.
- In Power BI, choose Transform data and repoint the source to your file or database, then Close and Apply.
- Set the Date Range slicer to your reporting window and check the KPI deltas on page 1.
- Rename channels, genres, platforms and languages to match your catalog; every visual follows the model.
- Publish to your Power BI Service workspace, or export to PDF for a board pack.
💼 Real-World Use Cases
Ana is head of programming at a six-channel factual network. She opens the Overview page each Monday, filters to one channel, and reads watch hours against completion rate for the month. When completion rate drops while views rise, she knows a title is being sampled and abandoned, and she moves it out of the prime slot before the quarter closes.
Marcus runs a documentary production house with eight titles in delivery. He uses the Production and Spend page to show his distributor cost per 1K watch hours and return on spend by month, then uses the Spend against Net Margin bubble plot to argue that his slate returns more margin per dollar than the two larger houses on the same chart.
Priya handles international distribution. She lives on the Channels and Platforms page, comparing revenue per 1K watch hours by language across English, Spanish, French, Hindi, Japanese and German, and uses the Revenue by Platform donut to decide whether the next window goes to a streaming app or a partner OTT.
❓ Frequently Asked Questions
What metrics does the Documentary Channels Dashboard in Power BI track?
It tracks 22 measures including total viewership, watch hours, completed views, completion rate, new subscribers, subscriber conversion, revenue, ad and sponsorship revenue, net margin, production budget, marketing spend, cost per 1K watch hours and return on spend.
How long does setup take?
Under 10 minutes if your catalog is already in a spreadsheet. Open the .pbix, look at the bundled Data.xlsx for the expected columns, repoint the source through Transform data, then Close and Apply. Every page redraws from your own rows immediately after the refresh finishes.
Do I need a paid Power BI licence?
No. The dashboard opens and runs in Power BI Desktop, which Microsoft gives away free. A Power BI Pro or Premium licence is only needed if you want to publish the report to a shared Service workspace for colleagues.
How does this compare to a paid media analytics platform?
A vendor platform costs $25 to $150 per user per month and gives you generic media KPIs. This template is a one-time $17.99 purchase, runs on your own machine, and every measure is editable because you own the .pbix file.
Can I add my own genres, channels and languages?
Yes. The model reads genres, formats, channels, platforms, languages, regions and production houses from your data, so adding a new one is a data change and not a report rebuild. Slicers and scorecards pick it up on refresh.
Is there an Excel version of this dashboard?
Yes. The Documentary Channels Dashboard in Excel covers the same catalog metrics for teams without Power BI Desktop. Buy whichever edition matches the tool your finance and programming leads already open every day.
What exactly is in the download?
A ZIP containing the .pbix report file, a Data.xlsx sample source showing the expected column layout, and a Power BI Dashboard user manual PDF. Nothing else is required to open and edit the report on a Windows machine.
👤 About the Author
Built by PK — Microsoft Certified Professional with 15+ years of Excel, Google Sheets and Power BI experience. Founder of NextGenTemplates, reaching 300K+ subscribers across YouTube channels (@PK-AnExcelExpert, @NextGenTemplates, @NeoTechNavigators). Every template is hand-built and tested before release.
🔗 Explore Related Templates
Also available as: Documentary Channels Dashboard in Excel — the same catalog metrics for teams that live in Excel.
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📅 Last updated: September 2026
