HHEVYF
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Drop your spreadsheets. See what's leaking.

HEVYF turns your Excel or CSV files into a dashboard that shows what changed and what to check. Every number comes with its formula.

Ready in about five minutes · Your files are never used to train AI
HEVYF · New report
description
orders.csv
754 rows · "What changed this quarter?"
progress_activityReading 754 rows
progress_activityChecking blanks and duplicates
progress_activityLooking for what changed
progress_activityRecomputing every number
Orders reportJul to Sep 2026 · made-up data
Paid revenue
$122.7K
Orders
754
Refund rate
6.9%
Paid revenue by segment
West
East
North
South
trending_up
Act
Refund rate went 6.0% to 8.1% in September; Partner refunds most
functions=COUNTIFS(channel, "Partner", status, "refunded")/COUNTIFS(channel, "Partner")verifiedChecked
Sped up. A real build takes about five minutes, and you watch every step.

How it works

No setup. No formulas to write. About five minutes.

Step 1Drop your filesExcel or CSV. One file or several.
Step 2See what it foundWhat changed, what's slipping, what to check.
Step 3Ask why, in plain wordsAnswers are worked out from your rows.

What it found in 754 orders

Every dashboard opens with what changed and what to check. Click a finding to see how it was worked out.

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ActRefund rate went 6.0% to 8.1% in September; Partner refunds most
  1. Start from orders.csv: 754 rows.
  2. Top: Refunds. Count the rows where status is "refunded".
  3. Bottom: Orders. Count the rows.
  4. Divide the first number by the second.
  5. Each bar, slice, or row repeats this using only its own rows, for example channel is "Partner".
=COUNTIFS(channel, "Partner", status, "refunded")/COUNTIFS(channel, "Partner")
WatchPartner orders grew from 29 in July to 91 in September
WatchAverage order value, September versus August: -9.0%
What I assumed

Every choice that changes a number is written down, so you can change it in plain words.

  • Revenue: paid orders only. Refunded and cancelled amounts are excluded.
  • Orders: all rows, 754 read and none dropped. No duplicate order ids or blanks were found.
  • Period: July to September 2026 are all complete months, so deltas compare September with August.

Findings and assumptions as HEVYF wrote them for a sample file of made-up orders.

Try a real dashboard

Built by HEVYF from 754 made-up orders. Click anything.

1Open the ⓘ on Paid revenue2Click a bar to filter the page3Switch to Drivers or Detail

Sample report · made-up data

Orders report · Jul to Sep 2026

754 orders · paid revenue in USD

Segment
Monthto

Click any bar, slice, tile or row to filter the whole dashboard.

The brief

Headline
$122.7K▲ 6.6%
Paid revenue · Paid revenue for Jul to Sep 2026 was $122.7K; the arrow is September versus August.
Why
West leads paid revenue
It brings 39.8K of 122.7K, a 32% share.
Watch
  • ActRefund rate went 6.0% to 8.1% in September; Partner refunds most
  • WatchPartner orders grew from 29 in July to 91 in September
  • WatchAverage order value, September versus August-9.0%

Paid revenue

$122.7K
Change is September versus August
▲ 6.6%
vs previous period
Jul 2026Sep 2026

Orders

754
Change is September versus August
▲ 20%
vs previous period
Jul 2026Sep 2026

Refund rate

6.9%
Change is September versus August
▲ 2.0 pts
vs previous period

Paid revenue rose each month, but growth slowed in September

Paid orders only; all months are complete and the axis starts above zero

Axis starts above zero

West is the largest segment

Paid revenue per segment, largest first

Assumptions

  • Revenue: paid orders only. Refunded and cancelled amounts are excluded.
  • Orders: all rows, 754 read and none dropped. No duplicate order ids or blanks were found.
  • Period: July to September 2026 are all complete months, so deltas compare September with August.

Questions

Every number is computed from your rows, then recomputed by a separate script before you see it. If the two disagree, the dashboard is not published. Click any number to see its steps, its Excel formula, and the rows it used.

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