Intercom's RICE methodology is becoming increasingly popular among product managers. Here's how Receptive supports it:
Our "effort vs value" chart is a great way to gauge impact. If you hover over a feature on the chart, you get a hard value for effort (from the sliders / value out of 100) and the value. The value calculation comes from the SmartList algorithm and is normalized - a feature with a value of 100 is going to give you the maximum impact.
Remember you can segment the data with one click too - selecting from the "Prepared Reports" list lets you see which requests will have the highest impact for your internal teams, customer base as a whole, churned users, highest to lowest paying customers etc...
Receptive is all about gathering prioritized demand from your customers, market and internal teams so you can make data-driven product decisions. You can be confident in your data because you know that you are working with up-to-date and relevant information, not +1 votes from a customer feedback forum or spreadsheet.
We combine feature value with development effort so you can make great decisions on where you place those all important scarce development resources.