QBR automation: from spreadsheet to review-ready narrative

Quarterly business reviews shouldn't take a quarter to prepare. Upload the KPIs you already track and get an executive summary and deck that accurately reflect performance.

Generate a QBR-style deck from sample quarterly revenue data.

The problem

Sound familiar?

Every team builds QBRs differently

Each quarter, each team reinvents the format. Inconsistent decks make cross-team review slower and comparisons unreliable.

The narrative lags the data

By the time slides are assembled and the story is written, the quarter under review is already old news.

Summaries that overstate or understate

Hand-written QBR narratives drift from what the numbers actually say — in either direction.

How it works

Three steps, minutes of work

1

Upload quarterly KPIs

Revenue, margins, engagement, retention — quarterly or weekly granularity, CSV or Excel. Structure is detected automatically.

2

Confirm what the quarter means

Review the AI's reading of your KPIs and correct domain-specific interpretations before generation.

3

Run the review, not the formatting

Get a consistent, executive-ready QBR deck where the narrative matches the numbers — because the numbers are checked in code.

sample_saas_metrics.csv → Executive deck

Slide 2 of 8

Revenue momentum: MRR nearly doubled in H1

Monthly recurring revenueJan–Jun 2024
$85KJanFebMarAprMayJun

MRR · Jun 2024

$85,000

Verified · row 6

Churn · Jun 2024

1.9%

Verified · row 6

Every figure on this slide traces to a cell in the uploaded file — validated in code before export.

QBR narratives are generated only after you validate the AI's understanding of your KPIs — and every figure in the output is verified against your uploaded file.

FAQ

QBR automation — common questions

What data do I need for an automated QBR?+

A CSV or Excel export of the KPIs you already track — quarterly revenue and margins, weekly engagement and retention, or similar. The included e-commerce and product-engagement samples show typical structures.

Can InsightNarrative handle both quarterly and weekly data?+

Yes. Time granularity is detected deterministically during parsing — quarterly, monthly, and weekly series are all supported, along with snapshot and multi-series formats.

Does the QBR deck export to PowerPoint?+

Yes. The output is a standard PPTX file with charts, insights, and an executive narrative, ready for the leadership table or further editing.

Put verified AI reporting to the test

Upload your data and check the output against your own spreadsheet. Every number in the deck is validated in code — that's the point.