Capture for Jira, from SmartBear vs. Stackby

The software works best in a collaborative environment where information needs to be conveyed quickly and effectively with visual and impromptu notes. If your group doesn't like to do things online and prefers the whiteboard for in-person meetings maybe this solution is overkill. In-person meetings happen frequently so this solution makes it easier to do things remotely.

Incentivized

Based on my experience, I can provide specific scenarios where Stackby is well suited and others where it may be less appropriate: Project Management: Stackby is an excellent choice for project management scenarios. Its ability to create custom databases, track tasks, assign responsibilities, and collaborate in real-time makes it highly effective for managing and monitoring project progress. CRM and Sales: Stackby is well suited for managing customer relationships and sales processes. Its customizable database structure allows for organizing customer information, tracking leads, managing deals, and generating reports. The ability to integrate with other tools further enhances its usefulness in CRM and sales workflows. Content Planning: Stackby is a great fit for content planning scenarios. Users can create databases to manage editorial calendars, track content ideas, assign tasks to team members, and monitor content performance. Collaboration features facilitate seamless content collaboration and ensure timely publishing.

• Documentation
• Directions
• Ease of use

Incentivized

• Ability to collaborate with team members on the same spreadsheet
• Ability to integrate multiple tools for centralized utilization (i.e. Facebook, Google Analytics, project management, etc.)
• Ability to send SMS and messages using integration with Twillio and Whatsapp
• All spreadsheets/databases securely saved in the cloud instead of on local hard drive(s)

• Licensing
• Some documentation topics
• More drawing options

Incentivized

• Implement the same views available on desktop into the mobile app
• Internal automations (like Airtable)
• Ability to implement and display info as a dashboard (like Airtable)
• Polish up the formatting of formulas, inputting them causes user frustration due to the formula input cursor jumping around
• Better intelligence and ease of inputting data in bulk i.e have the fields automatically identify what data is being input and format appropriately (like Airtable does)

Stackby is overall pretty easy to use, especially if you're used to something like Airtable or SmartSuite. Some of the pages seem like near exact clones (though they put their own creative spin on things). I'd prefer a slighty fresher interface (like SmartSuite), but I'm willing to sacrifice that for the better price and great customer service.

Extremely responsive, helpful, and friendly support (unlike many other SAAS teams out there).

Capture for Jira was just the right-sized application we needed to make our Jira implementation more productive and effective. We didn't want to migrate from Jira, so this was the right choice to build upon the infrastructure we already had. It was the best option without pouring more money into another solution.

Incentivized

I have also tried Ora.Pm. Infinity has better graphical interface, but nowhere near as many features and the UI isn't as effective (i.e, moving around with keys). Grist has a much more technical interface and it comes from being more of a database/interactive spreadsheet vs Stackby. Grist has much more functionality in terms of formulas, but is much harder to learn to use and less other functionalities. Ora.PM is more of a test at a task management app, and doesn't compare - Stackby is much better.

• Efficient
• Bit expensive
• Flexible

Incentivized

• By its customisation, I have seen business intelligence that was not evident or available by using other software
• Has helped to organise all my data (work and personal) into interesting relationships that help with better decision making
• Has created extra curiosity in its flexibility and customisation to have all my datasets used and manipulated into meaningful ways