There is a growing lack of feature parity and consistency across platform features such as cockpit and timeline sync, calculated fields, filters, behavior, and API. This inconsistency, coupled with what seems to be a growing disregard from the organization towards addressing fundamental issues, is concerning. Often, translating a business process into a Gainsight solution feels like it exclusively involves workarounds, and that isn't sustainable.
Additionally, arbitrary and undocumented changes frequently disrupt workflows and processes, with little to no apologies. The repeated suggestion to "clone and remap" as a solution to many issues is frustrating.
There is an excessive focus on AI at the expense of addressing basic features, parity issues, and stability problems that, if resolved, would significantly improve the platform. The admin community has been requesting these basic improvements for years, yet we are repeatedly told that "AI will solve this." While AI might eventually address these issues, when is it? It is also questionable whether it can do so effectively if the foundational elements are unstable. We're yet to see AI for admins.
Is it normal to have to work around the system to make it function? The emphasis on AI feels like ignoring the real elephant in the room: the limitations and inconsistencies of this platform, which in turn could raise concerns about the platform's long-term viability. Review collected by and hosted on G2.com.