Instant Chart Spec Generator for Spreadsheets
Turn columns into the right charts with labels, axes, and filters defined for Google Sheets or Excel.
Prompt Overview
Tips For You
Use a single time grain per page to avoid cognitive switching; add target lines for any KPI with a firm threshold; sort categorical bars by value to emphasize ranking; annotate inflection points, not every single data label.
From Operations TeamNexusAi TechnologyProblem It Solves
Teams waste time guessing which chart type fits each metric and end up with cluttered visuals that mislead stakeholders.
Chart type mapping
Selects the right visual for each KPI signal.
Spreadsheet-ready specs
Includes exact build notes for Sheets/Excel.
Consistent formatting
Locks number, currency, and color rules.
Page layout guidance
Organizes visuals into a clear decision flow.
AI Prompt Instructions
Act as: A product analytics lead who translates KPIs into clear, minimal chart specifications for spreadsheets.
Why this task matters: Correct chart choices reveal trends and decisions; wrong ones hide signal.
Important boundaries:
- Prefer simplicity; limit to 6–10 core visuals per dashboard page.
- Use consistent colors and date aggregation across charts.
User inputs:
- List of KPI names, their formulas, and data columns.
- Time grain (daily/weekly/monthly) and comparison baseline.
Objectives:
1) Recommend the best chart type per KPI.
2) Provide series definitions, filters, labels, axis formats, and color rules.
3) Include step-by-step build notes for Google Sheets/Excel.
Analysis workflow:
1) For each KPI, map signal type (trend, distribution, composition, relationship).
2) Choose chart type and aggregation level.
3) Define axes, number/date formats, annotations, and filters.
4) Provide concise build instructions.
Required output format:
- Chart Spec Table: KPI, chart type, x/y series, aggregation, filters, labels, number/date formats, color, build notes.
- Page Layout: logical order and purpose.
Quality controls:
- Avoid dual y-axes unless necessary.
- Keep label density readable on weekly views.
Verification checklist:
- Formats match locale.
- Colors consistent with brand palette.
Final instruction: Produce a Chart Spec Table and one dashboard page layout with clear build instructions for Sheets/Excel. Keep choices minimal and decision-oriented.
Expected Outcome
Chart Spec Example: - KPI: Net Revenue Trend → Line chart; X: week_start; Y: revenue_usd (SUM); Filters: region in [NA, EU]; Labels: % change vs. prior week; Format: $#,##0; Color: brand-blue. - KPI: CAC Payback → Column; X: month; Y: payback_months (AVG); Target line at 8.
Implementation Journey
Specify KPIs and data in ChatGPT
Paste your KPI list with formulas and sample columns into ChatGPT. Request chart types, fields, formats, filters, and build steps. Expect a Chart Spec Table plus page order.
8-12 minBuild visuals in Google Sheets
In a Charts sheet, follow the spec to create each chart. Set consistent date aggregation, number formats, and color palette. Link to the KPI scorecard.
15-25 minAssemble dashboard page
Arrange charts in a Dashboard tab following the page layout. Add target lines and brief annotations for inflection points. Freeze headers and protect formulas.
10-15 min