The link still works, and the link still gets tracked in redis, you just won't be able to see the stats for the link until you upgrade. It's a similar model to Plausible.io, which I think is really fair! Let me know what you think! :)
Hey guys, I'm documenting our process of how we're validating what integrations to build. We are doing this by posting a link to our integrations landing page and then measuring the conversion funnels.
We'd appreciate some feedback on how to increase throughput to make sure we're not getting false negatives.
Hey guys, as our MVP is becoming usable, we're documenting examples of how the tool can be used to fail ideas fast.
I'd appreciate some discussion around running these types of tests in your product. What tools did you use? What did you measure? How often do you run these tests?
We have seen companies use segment > intercom but the code has to be changed by the devs.
As a PM or UX, you shouldn't need to go through a whole SDLC just to test out ideas like this.
Yes it may piss off the user but thats why you roll it out to specific cohort or allow them to opt out of future research. Thats some stuff that we need to build in next.
Yes our landing is shit and doesn't convey what we do, we're working on it but log in and take a look at the product and see if it makes sense.
This product is as a result of watching the whole industry spend resources building useless features because the evidence was coming from opinions/anecdotes.
I could not find any tool that let us run experiments that can give us some qual and quant for testing product ideas. All of the tools that exist such as Google Optimize and Optimizely are for marketing teams. They are useless in telling us what to build and how.
I'm looking to fix this for Product Teams that have an existing product with sufficient traffic. More specifically we are seeking people who also have a lean thinking mindset. This tool is for you, we want to help you run these type of AB + Fake Door experiments in-app easily.
How it works:
Enter your hypothesis and describe your experiment by setting your user segment and designing what your fake door will look like and where to place it in the product.
We'll give you a report of the conversion rate and the feedback telling you if you should build it or not.
One of the first places I actually hit a painted door was from stoplight.io, they had a "share" button and when I clicked it, they sent me to a whole other feedback site to vote.
I aim to make this a very seamless process for others to implement with Samelogic. The UX of voting right within the product and have that sent out to your product management tools decreases our feedback loop time as we're reducing the friction for feedback collection.
Cant follow either of you XD