Spreadsheet - Native Grid at Scale

Improved retention by 12% by redesigning Bitscale’s core grid experience to support scalable automation workflows while maintaining clarity, system feedback, and interaction predictability.

Simplified grid interactions, improved system state visibility, and introduced familiar spreadsheet-like behaviors enabling users to confidently manage, update, and act on large datasets without friction or confusion.

Approx 15–20% of users struggled to efficiently manage large datasets, leading to slower decision-making and reduced confidence in the grid.

Users expected spreadsheet-like interactions and bulk workflows, but the existing experience lacked intuitive controls, clear feedback, and scalable interaction patterns.

How might we improve trust and efficiency in grid-based workflows while reducing cognitive load at scale?

Based on user research from support calls, tickets, PostHog analytics, and internal feedback, several key issues emerged: 1. Visual inconsistency made large grids hard to scan and interpret 2. Lack of clear system feedback (running states, loading, updates) 3. Missing spreadsheet-native interactions (selection, bulk actions, right-click) 4. High cognitive load when working with large datasets and automation 5. Disconnection between grid-level actions and workspace-level workflows

The experience focused on making complex grid workflows feel predictable, lightweight, and familiar. Interactions were redesigned to align with mental models users already had from spreadsheets, while system feedback was introduced at the right moments to clearly communicate states like running automations, loading data, and cell-level updates.

Grid-level actions were tightly integrated with workspace-level workflows, enabling users to perform bulk operations, manage data, and trigger automations without losing context. By balancing visibility with performance, the system supported complex workflows without overwhelming users.

Improved retention by 12% by enhancing clarity, system feedback, and interaction predictability enabling users to move faster from exploration to confident action in complex grid workflows.

1. Improved scanability and readability across large grids 2. Reduced confusion around grid and cell execution states 3. Faster workflows when working with continuously updating datasets 4. Increased user confidence when running automation and enrichment 5. A more cohesive experience between grid actions and workspace management

Based on my learnings and the design constraints during this project, there are several areas I would improve in future iterations:

1. Introduce a folder-based system to enable better organization and scalability. 2. Provide a dedicated view mode to save and reuse filters and customized grid views.