ProSkills kpi

KPI Report Pro

KPI Report Pro

Turn any Excel or CSV file into a ready-to-share KPI dashboard in minutes. Every number is computed from your data, with targets, trends, period comparisons and clear recommendations. English and Arabic.

Why KPI Report Pro

Most AI "reports" guess at numbers. This agent doesn't.

✅ Exact numbers, computed in code. Every figure comes straight from your data, never estimated or invented.
🎯 Targets and status at a glance. See attainment against your goals, with clear On track / Watch / Off track labels.
📈 Trends and comparisons. Current period vs previous, with unusual periods flagged automatically.
🔍 Findings you can act on. Each finding links a number to a likely cause and a concrete next step.
🧹 Honest about your data. Duplicates, invalid dates and partial periods are detected and reported, not hidden.
🌍 English and Arabic. Full right-to-left Arabic layout when you need it.

How it works

What you get
Key indicators with targets

4 to 8 headline KPIs, each with its value, change vs the previous period, status, target attainment and a sparkline. Color is never the only signal: arrows and labels are always shown.

KPI cards

Trends over time

Line charts for your top KPIs, with target lines and unusual periods highlighted in red.

Trends

Breakdown by category

Switch between KPIs and dimensions (region, product, channel, team...) to see what drives the numbers.

Breakdown

Findings and recommendations

Each finding follows the same structure: the number → a possible explanation from the data → a concrete recommendation. Recommendations are ranked by priority.

Findings and recommendations

Transparent methodology

Every report ends with the assumptions and cleaning steps behind it, so you know exactly what was counted. If a KPI can't be computed from your data, the report says so instead of making it up.

Methodology notes

Works everywhere
Dark mode

The report follows your system theme automatically.

Dark mode

Mobile and print

Responsive layout for phones, and clean output for printing or PDF.

Ask for the report in Arabic and the layout, labels, dates and numbers switch to right-to-left automatically.

Arabic report

Built-in KPI library

The agent picks KPIs that fit your data from a library covering seven domains:

Domain Example KPIs
Sales Revenue, orders, average order value, gross margin, return rate
Marketing CTR, conversion rate, CPC, CAC, ROAS
Human resources Headcount, turnover, absence rate, time to hire
Finance Revenue, expenses, net margin, budget adherence, cash flow
Operations On-time delivery, cycle time, defect rate, productivity
Customer service CSAT, NPS, first response time, first contact resolution, SLA
Trading & portfolios Net P&L, win rate, profit factor, max drawdown, Sharpe ratio

Rates are always calculated as a ratio of totals (never an average of averages), and a partial final period is excluded from comparisons automatically.

How to use it
Upload your data: Excel (.xlsx), CSV, TSV, JSON, or paste a table.
Ask for a report, for example:
"Make me a KPI report from this file."
"Sales KPI report for October. Monthly revenue target is $600K, margin target 45%."
"Analyze this support ticket data and build a dashboard."
"Same report in Arabic, please."
"Give me the report as a PDF."
Get your dashboard: an interactive report ready to share, or Excel, PDF or PowerPoint on request.

Tips for the best results

Share your targets to unlock attainment and status.
Name the comparison period if you want something other than the latest month vs the one before.
Clear column names (Date, Revenue, Region) help the agent choose the right KPIs.
Good to know
Your data needs a date column for period comparisons.
Quality in, quality out: the agent flags data problems but never fills gaps with invented values.
Trading reports describe past performance only. No investment advice, buy/sell signals or price predictions.
Sensitive data stays aggregated: individual salaries or ratings are not shown by name unless you ask.

The screenshots show reports produced by this agent from synthetic demo data.