DoneDone vs Richpanel
Side-by-side trajectory, velocity, and editorial themes.
DoneDone keeps polishing its Kanban boards and shared-inbox workflows.
DoneDone is a task-tracking and shared-inbox tool, and its recent releases concentrate on board and mailbox usability: collapsible Kanban columns, new sort options, a Mailbox Kanban view, active-assignee filtering, and quieter activity feeds with actions hidden by default. Each is a focused, incremental UX improvement.
The direction is workflow refinement rather than expansion — reducing noise, giving users more control over how boards and inboxes are organized, and bringing Kanban patterns to the shared mailbox. It's the steady polish of an established tool tightening its day-to-day experience.
Expect continued board and mailbox UX refinement — more view, sort, and filtering controls — rather than a new capability area.
Richpanel is folding the ecommerce support stack into one inbox, integration by integration
Richpanel is a support inbox for ecommerce brands, and nearly every recent release adds another external system to it: phone (RingCentral, JustCall), SMS (Klaviyo), post-purchase ops (AfterShip tracking, returns, warranty), and order platforms (SellerCloud, BigCommerce). The consistent design is that each system's data and actions land on the customer conversation, so agents resolve issues without leaving the ticket. SLA Management is the rare non-integration release, adding response and resolution tracking.
The bet is breadth: become the single console where an agent sees and acts on every downstream system — call recordings, warranty claims, return labels, order replacements — with no tab-switching. AfterShip Tracking hints at a second layer, feeding that live operational data to Richpanel's AI agent so it can answer 'where's my order?' on its own. Depth in any one integration matters less right now than covering the whole ecommerce stack.
Expect the integration cadence to continue — more phone, shipping, and marketplace connectors — with growing emphasis on letting the AI agent read and act on that integrated data, not just surface it to human agents.
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