Designed on demo data

Screens were designed and tested with a small, clean dataset. Real volume, long names and messy history break layouts and performance.

Profile representative data and separate query time, transfer time and browser rendering. Then choose measures such as appropriate default ranges, paging or server-side aggregation. Keep the selected scope visible; no single layout change resolves every performance cause.

• Ledgers reach hundreds of thousands of lines within a few years.
• A default range of all time is harmless with demo data.
• Migrated data carries several values in one field and free text where structure was expected.
• Empty states are often never designed.
• Browser-side processing of full ledger history can become a bottleneck; measure it with representative volumes before selecting an architecture.

• Truncated labels in production
• Slow reports after migration
• Empty states nobody designed
• Layouts that break on long customer or product names

Real data is not available during design. Customer data is confidential or not yet migrated, so design and testing use what the team creates.

Demo data is made to look good. It has short names, round numbers and complete records, because it is also used in sales.

• Performance failures after go-live. Reports time out and users narrow date ranges by hand.
• Broken layouts. Long names truncate and tables overflow.
• Undesigned states. Empty, partial and loading states appear without design.
• A demo that differs from the product. Buyers see the demo data, and users later meet the real one.

Where it shows up

• The system slows down on historical data
• Legacy migration stalls on inconsistent data
• Accounting and financial close
• Product demos lose deals