Classify each attribute's ideal control
Attributes with few distinct values become checkboxes/chips; attributes with many values become searchable dropdowns; numeric ranges become sliders or min/max inputs.
Free MVP filter design tool
FilterFlow
Enter your dataset's filterable attributes and get a recommended filter UI pattern, priority order, and structure for large catalogs, marketplaces, or admin screens.
- Calculated instantly from your inputs
- No signup or data submission
- A focused next step for MVP planning
Your entries remain in this browser session and are not sent to MVPHub.
Your inputs
List your filterable attributes
Enter one attribute per line as Attribute | distinct values (approx count) | how often used (high/medium/low).
Your calculated result
Your result
0/100
Planning score
Recommended next actions
How it works
Rank filters by usage and dataset size
High-usage attributes are prioritized to appear first and stay visible; low-usage ones are recommended for a collapsed "more filters" section.
Recommend an overall layout
Dataset size and attribute count together determine whether a sidebar, top bar, or modal filter pattern fits best.
Frequently asked questions
How do you decide between a sidebar and a top bar?
More than 4 high-priority attributes on a large dataset typically favors a persistent sidebar; fewer attributes on a smaller dataset works fine as a compact top bar.
What if an attribute has hundreds of distinct values?
It is recommended as a searchable/typeahead control rather than a flat checkbox list, since a long flat list becomes unusable past roughly 20-30 options.
Should every attribute be filterable?
No — only include attributes users would realistically filter by. Adding filters for attributes nobody searches on adds clutter without value.
How is this different from SearchUX AI?
FilterFlow designs the structured filter/facet UI for browsing a dataset; SearchUX AI focuses on the free-text search box experience — query handling, suggestions, and empty results.
How we compare
| Capability | MVPHub | Copying a competitor's filter panel | A generic e-commerce UI template |
|---|---|---|---|
| Recommends a control type per attribute | ✓ | × | — |
| Prioritizes filters by your actual usage data | ✓ | × | × |
| Adapts to your dataset size | ✓ | × | × |
| Instant, no design engagement required | ✓ | ✓ | ✓ |
MVPHub tailors filter structure to your specific attributes and dataset size. A copied competitor panel or generic template may not match your data's shape at all.