Best Change Management Software for Google Sheets
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Compare the Top Change Management Software that integrates with Google Sheets as of October 2025
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This a list of Change Management software that integrates with Google Sheets. Use the filters on the left to add additional filters for products that have integrations with Google Sheets. View the products that work with Google Sheets in the table below.
What is Change Management Software for Google Sheets?
Change management software is a tool used to coordinate changes and improve the effectiveness of varying processes. It enables organizations to track and manage change requests, assess impact, approve or reject change proposals, assign tasks to relevant personnel, and monitor progress until completion. Change management software also allows users to document all changes for audit and compliance purposes. Additionally, it provides notifications and automated workflows which simplify the process of adapting to organizational change. Finally, the software can enable collaboration between team members by providing them with access to data stored in one central repository. Compare and read user reviews of the best Change Management software for Google Sheets currently available using the table below. This list is updated regularly.
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Howspace
Howspace
Howspace is a Digital Facilitation tool that helps you inspire co-creation and boost engagement – powered by AI. Howspace is specifically designed for facilitator-led workshops and events. You can build an interactive journey for organizational development, transformation, and change initiatives with an intuitive drag and drop editor. Howspace helps you involve your participants and deliver a stronger impact through active dialogue before, during, and after sessions. You can analyze large discussions with AI in seconds. You can cluster themes or create a summary with a click of a button. We have built-in video meetings so you don't need to use a combination of Teams, Zoom, and other tools. Howspace works in asynchronous, virtual, AND live settings. Your participants can access their workspace like magic, with a single click of a button – no login details needed. Start a free trial and book a demo with us.Starting Price: $195/month -
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Stack Moxie
Stack Moxie
Stack Moxie loves marketers. We are marketers. And we know that with technology - marketers can perform miracles. But marketers are setup to fail. Marketing departments must run efficiently, deliver more, and comply with tough regulations. A CMO knows that the most cost-effective way to scale the business and enforce compliance is more technology. But a CTO would hesitate. She knows that marketers are missing one of the basic tools that IT can’t live without. A CTO would insist that the stack be tested. End to end, repeatedly. Are web forms functioning properly? Were the appropriate actions triggered by customer input? Can we pass an audit? For the marketer, these tools just don’t exist, nor does the time or budget to do this manually. That’s why we built Stack Moxie. Stack Moxie takes IT know-how and puts it into the hands of the marketer. We ensure martech works: leads aren’t lost, digital ad spend isn’t wasted, and when something breaks it won’t go unnoticedStarting Price: $99 per month -
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Gable
Gable
Data contracts facilitate communication between data teams and developers. Don’t just detect problematic changes, prevent them at the application level. Detect every change, from every data source using AI-based asset registration. Drive the adoption of data initiatives with upstream visibility and impact analysis. Shift left both data ownership and management through data governance as code and data contracts. Build data trust through the timely communication of data quality expectations and changes. Eliminate data issues at the source by seamlessly integrating our AI-driven technology. Everything you need to make your data initiative a success. Gable is a B2B data infrastructure SaaS that provides a collaboration platform to author and enforce data contracts. ‘Data contracts’, refer to API-based agreements between the software engineers who own upstream data sources and data engineers/analysts that consume data to build machine learning models and analytics.
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