Basecamp vs. Benchling

Basecamp is a wonderful tool for teams of varying degrees of technical knowledge, teams managing lots of different types of "agifall" and waterfall projects, and teams that are remotely distributed. It's probably less useful for more strictly agile-focused development teams, compared to other more flexible software applications like Jira and Asana.

Incentivized

Benchling is especially well suited to groups or contexts where there are many users who do not have a coding background but need a seamless and structured approach to data. Benchling is particularly useful in cases where there are data flows from instruments and other devices where the data can be deposited in an automated fashion. It is likely less appropriate or useful to users who are just looking for a general data warehouse solution.

Incentivized

• Task management - It is very easy to add, organize and discuss tasks within Basecamp's interface.
• The "Campfire" function is great for communicating when you just have a quick question for someone on the team.
• Notifications - Basecamp lets you decide how often and about what you'd like to be notified. The ability to respond to messages in Basecamp directly via email saves a lot of time.

Incentivized

• Excellent easy to use and beautiful UI
• Great customer support and training
• Has no code ways of retrieving and depositing data

Incentivized

• High Learning Curve. It's true that it can be easy to use, but to use well and effectively takes some time to learn. It's recommended to have an agreed-upon system in your team of what tools to use and when.
• Notification Overload. If people aren't careful they could send a notification to everyone when only a couple people were meant to be prompted. And since emails are sent by default, you could have your mailbox overloaded with unnecessary updates. This is where it takes a bit of training in your team to have an agreed-upon system.
• Lack of organization with Archived Projects. I will often need to reference an archived project to make a new one, but there is only a list of archived projects in alphabetical order, with no way to organize by archive date, or even search.

Incentivized

• Some of the integrations can be a bit spotty so it depends on what kind of data source you are integrating
• Sometimes new users are not always aware of all the various functionality that Benchling has - can do better to provide more user awareness of more complex features

Incentivized

When I bring new people onto a project, it's immediately obvious how to use Basecamp. I don't have to worry about teaching them the features or walking them through it, it's just incredibly user-friendly. For this reason, I'll continue to renew my subscription even as new people are brought onto production jobs or the client changes.

It is easy to use, even for clients who have no experience with the platform. It can only get a little cumbersome to ensure that a client can't see certain documents you might want to keep in the Docs & Files folders. And sometimes, getting a client to actually use an unfamiliar platform can be a challenge.

Incentivized

I've never experienced downtime while using Basecamp, or been unable to access it when I needed it. That's not to say they've never had downtime, but I've been lucky enough not to encounter any, and I work odd hours, including late nights when maintenance is often undertaken.

Incentivized

For the many reasons I've given, Basecamp is a very strong program. There are a few features I can imagine that might make it even better, but I don't have a basis for comparison to be able to say that there is definitely a better one out there. I've noticed that Basecamp has evolved a bit from the time I started using it until now, so that makes me think that the producer of this program values it and believes in continuous improvement. If you could use the features offered by Basecamp, I would think you could use it with confidence.

Incentivized

Decide the process before implementation - i.e. when it's due 8/9 does that mean 8am, noon, 5pm, 11:59pm? Check your to-do list frequently Set-up templates - just not with the dates (they can be funky)

Pretty good, but [Basecamp] has its drawbacks. Honestly I find the interface non-intuitive and sometimes have trouble figuring out how to change the status of a task. Perhaps it has something to do with the way it was originally set up by the admin, but I'm not sure. I liked Jira's drag and drop obvious functionality, but the project management side of the software was lacking. Smartsheet has excellent project management functionality, but the task management isn't as good.

Incentivized

Benchling was much more of a full stack solution and provide much more features that were relevant to the group. Airtable was more of a generic way to manage large amounts of data, but the complexity was still high for the types of data that would be need to be managed and there would need to be some workarounds. Overall Benchling was selected since it also had an electronic lab notebook feature which was very useful to associates in addition to its data workflows.

Incentivized

• It has saved me time when having to get the same message out to multiple restaurants
• It has helped us make smarter operational decisions because we can all collaborate on an answer in a shorter amount of time (instead of calling a meeting!!!)
• The calendar function allows us to plot out our marketing agenda for the month and add/change it together as needed. The chef will post his recipe, the managers will cost it out, the social media manager will post pictures on it, and ultimately we will get that information out on an info sheet to the staff by printing the page.

Incentivized

• It had a positive ROI in terms of reducing the amount of time spent on data movement and curation by associates
• It had a positive ROI in terms of increasing the number of insights from structured data
• It reduced the number of data entry and analysis errors by associates which led to a positive ROI in terms of efficiency and reducing time wasted by tracking down errors in data

Incentivized