Caffe Deep Learning Framework vs. Survicate

Caffe is only appropriate for some new beginners who don't want to write any lines of code, just want to use existing models for image recognition, or have some taste of the so-called Deep Learning.

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Survicate is well suited for very basic intercept polls and is less suited for more complex surveying tasks (e.g., anything more than basic skip-logic or surveying niche cohorts) and longitudinal surveying (e.g., comparing responses from the same or similar cohorts year over year).

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• Caffe is good for traditional image-based CNN as this was its original purpose.

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• IMO, the strengths of feedback lite is what it is called for - 'lite"... it is basic, simple, and easy to set up and use.
• Especially should be mention that it is easy to set up, and you can have it working in less than a few hours.
• Reliable - I don't remember even one "problem" or an issue we experienced with it.

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• Caffe's model definition - static configuration files are really painful. Maintaining big configuration files with so many parameters and details of many layers can be a really challenging task.
• Besides imagine and vision (CNN), Caffe also gradually adds some other NN architecture support. It doesn't play well in a recurrent domain, so we have to say variety is a problem.
• Caffe's deployment for production is not easy. The community support and project development all mean it is almost fading out of the market.
• The learning curve is quite steep. Although TensorFlow's is not easy to master either, the reward for Caffe is much less than the TensorFlow can offer.

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• In my opinion, inconsistent and visually unappealing survey visuals (e.g., NPS and cSAT questions look completely different from each other, creating a disjointed visual experience)
• Poor customer service (in my experience, issue resolution can take weeks)
• Lack of clarity around API & other technical capabilities requiring engineering assistance
• Very limited maximum response limit per month

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We use Survicate for now, over 7 years, and the tool is being constantly improved. New features and products has been introduced over the years. The team listens to our feedback we sometimes share, and improve the product based on that. We really appreciate being supported by the Customer Success, all the insights and help we got from them. And even though they introduced many new features over the years, the tool still remained super easy to use, even from new employees that join our team

It's rare to use products that offer wide range of features, and yet are really ease to use. Over the years, the product has changed a lot, they introduced numerous new features, but the product remained really simple to use. We know it, because new employees who join our team, have no problem in starting to use Survicate on their own, without and dedicated training. The UI is really clear.

We had a lot of issues during implementation that required help from Survicate's engineers. In my experience, it took us over 4 weeks to be fully up and running due to lag times in communication.

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Setup was simple. One-time installation for our website and inside the product. We used Google Tag Manager to implement Survicate. So within 2 hours, we were able to run surveys, and also all attributes and events were passed to Survicate, so that we were able to use them to trigger surveys

TensorFlow is kind of low-level API most suited for those developers who like to control the details, while Keras provides some kind of high-level API for those users who want to boost their project or experiment by reusing most of the existing architecture or models and the accumulated best practice. However, Caffe isn't like either of them so the position for the user is kind of embarrassing.

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Considering the simplicity of the need, and the cost of such solution (~600$/yr), I don't think there was very deep research for any alternatives. The main alternative was embedding a feedback tool "organically" into our site, that option was taken off the table, for strategic considerations.

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• Since we stopped using Caffe before it can reach the production phase, there is no clear ROI that can be defined.

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• We had a business need - to collect feedback on our support knowledge base content. Feedback Lite fulfills this need, with simple, easy to use, solution.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info