Piano Composer, from Piano Software in New York, allows users to design, test, deploy, and manage audience experiences based on scenarios, rules, triggers, and conditions, all without IT. It presents out of the box loyalty and engagement solutions, and allows users to engage customer segments on the content they find most interesting and valuable - based on page attributes, metadata, or URL conditions.
Marvel is a very strong tool in scenarios where designers seek to quickly create simple prototypes on their desktops using a simple, intuitive interface. It offers “just enough” functionality to create somewhat realistic designs to present to stakeholders and other designers. However, there’s a limit to how “realistic” those designs can be, given that Marvel has somewhat limited functionality around animations. Marvel is not a strong option for those who want to create very complex prototypes with many animations, or for those who want to edit prototypes on their tablet or phone. Marvel is a jewel for simplicity but starts to be difficult to use when creating complicated designs. For creating more complicated prototypes, I would recommend a more robust tool, such as Axure.
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
Piano Composer is well suited to news publishers in particular currently, but in theory this tool could be used by any organisation that relies on a paywall or advertising to generate revenue. Their increasingly powerful segmentation tool would also be very useful to many companies, as you can target particular users very easily or rely on their algorithms to do it for you and learn to optimise over time. I also think that if you have a sales pipeline/funnel that you want to nurture users through, Piano Composer can help you to do that.
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
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
I really miss being able to duplicate, make a copy of the prototype I'm working on. Sometimes, I want to make a comparison with detail changes and without being able to duplicate it is difficult.
Compared to other similar services, I feel the animations could be more fluid and smoother.
It could have more free sophisticated icons and images.
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
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
Ultimately, InVision was just a better fit for our company's needs. It's probably faster to create prototypes using Marvel, but InVision's collaboration features (comments, notes, etc.) are much more robust, which was helpful for our large team spread across multiple continents. InVision also offers more advanced features, and Marvel felt a little too limited for our overall business needs.
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
Optimizely is a great platform for A/B testing with multiple variants and across a range of devices, browsers etc. What makes Piano Composer different is that you can add tests within your flows - specifying exactly where and why you want things to happen, whilst still building the rest of your experiences around this. The other huge benefit to Piano Composer is that it contains their Customer Segmentation engine and processing this data with their proprietary algorithms, so it is taking everything it knows about your users and including this in the segmentation process, which I think it much more powerful.
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
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
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
