Skedda vs Avoma
Side-by-side trajectory, velocity, and editorial themes.
Skedda keeps expanding from desk booking into a full workplace-operations suite
Skedda is broadening beyond space reservations into workplace operations, with a steady cadence of feature releases. Recent work sharpens scheduling logic — day- and time-scoped approval rules and priority booking windows, plus hour-level advance-notice precision — while extending physical-workplace touchpoints through interactive tablet room terminals, booking add-ons, visitor management, and issue reporting. The moves are incremental but consistently additive.
The direction is depth in two areas: more granular control over who can book what and when, and more of the on-site workplace experience (check-in, room terminals, visitors, issues) handled inside Skedda. Booking windows in particular are becoming a flexible policy engine for team priority and utilization. Expect continued buildout of workplace-management surfaces rather than a shift in category.
Next likely additions extend these primitives — more conditions on booking windows and approvals, and pushing the customizable/self-service patterns from Planner-style controls into more areas like visitor and room workflows.
Avoma leans on MCP and AI reasoning, but its crawled feed is mostly SEO comparisons
Most of Avoma's crawled feed is SEO comparison content (Fathom vs Fireflies, revenue-intelligence roundups), but two threads point at real product direction: a monthly product-update roundup and a run of posts building out Avoma's MCP server for connecting meeting data to Claude and ChatGPT. The clearest product signal is the June update — a smarter Ask Avoma reasoning engine, pre-call context, and CRM automation. The rest is content marketing around the meeting-intelligence category.
Avoma is positioning its meeting data as an AI-queryable source via MCP, and layering reasoning on top with Ask Avoma. If that continues, the product moves from notetaker toward a RevOps intelligence layer that agents query directly. The heavy comparison-content output suggests a parallel push for category search traffic.
Expect further MCP use-case buildout and iteration on the Ask Avoma reasoning engine; a bundled monthly roundup is the likely next product-update format.
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