Dopamine

Hack user engagement with Dopamine's Reinforcement API

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Reviews

Steffen
 
  • Steffen
    SteffenD E S I G N
    Pros: 

    Sounds good

    Cons: 

    Black mirror?

    Not sure what to feel about this. Specially after Chamath's interview (https://www.youtube.com/watch?v=d6e1riShmak) about human behavior programming. Not going after your product (it seems to be valuable to the market), but the whole 'hacking into people's brains' sound more and more black mirror to me. The question should be asked, is it responsible to keep pushing into this strategy?

    Steffen has never used this product.

Discussion

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Matt Mazzeo
Matt MazzeoHunter@mazzeo
Love what the team at Dopamine is building. They've turned their PhD thesis in neuroscience and informatics into a simple API to help developers better understand how to engage and grow users.
Ramsay 🐻 Brown
Ramsay 🐻 BrownMakerHiring@ramsay_brown · CoFounder @ Boundless.ai 🐻🔮🍺☀️🤘🏼
@mazzeo Thanks Maz! We 💕 you too
Harry Stebbings
Harry Stebbings@harrystebbings · Podcast Host @ The Twenty Minute VC
Cracking hunt here @mazzeo love what they are doing here for des helping to user base!
Brandon Shin
Brandon Shin@bshins · Co-founder @ PolymailApp
Awesome API! It totally makes sense that variable reinforcement strategies can and will be optimized! Very very excited to check it out and see a ton of value in the service, in a lot of use cases (Education could be really cool)
T. Dalton Combs
T. Dalton CombsMakerHiring@tdaltonc1
@bshins Education is a Dope application; we've seen it work. But I think an email app might be even Doper. *wink*
Ben Stein
Ben Stein@ben_stein
Looks awesome. It would be very cool to see a demo
T. Dalton Combs
T. Dalton CombsMakerHiring@tdaltonc1
@ben_stein We just finished the demo video. Hot off the presses:
Ian Mikutel
Ian Mikutel@ianmikutel · Sr. PM Lead, Ink & AI @ Microsoft.
@tdaltonc @ramsay_brown Love this! Can you talk about differences in retention you've seen by getting timing right vs random timing vs no rewards at all?
T. Dalton Combs
T. Dalton CombsMakerHiring@tdaltonc1
@ianmikutel @ramsay_brown Sure! We've run randomized control groups for all of our customers. Compared to a no-reward control, the optimized group has up to 60% higher retention. We don't run random-timing controls very often any more. They are not a good control for the way the newer versions of our algorithm runs. But back when we did, the optimized group has 25% higher retention than a dose-matched-random-timing group. And we're continually finding new ways to do even better. Thanks for asking!
Ian Mikutel
Ian Mikutel@ianmikutel · Sr. PM Lead, Ink & AI @ Microsoft.
@tdaltonc Thanks! And can you share any data on testing of various rewards? For example, text vs emojis vs stickers vs other stuff?
T. Dalton Combs
T. Dalton CombsMakerHiring@tdaltonc1
@ianmikutel The short answer is: not much difference. Skinner pointed out that, "The way positive reinforcement is carried out is more important than the amount." And by-and-large that's what we've found. Above some minimum level, all rewards work equally well. We have found that some rewards work better among different user groups, but nothing systematic. And we've also never worked with a developer that was interested in running radically different rewards, so we've never gotten to test emojis vs stickers (for example) in a single app. We have found that when a developer provides multiple different rewards for a single action, you can do interesting things in the patterns between them (but we're keeping the details on that close to our chest.)
Steve RAFFNER
Steve RAFFNER@steveraffner · Senior Innovation Consultant
Ramsay 🐻 Brown
Ramsay 🐻 BrownMakerHiring@ramsay_brown · CoFounder @ Boundless.ai 🐻🔮🍺☀️🤘🏼
@steveraffner you might be my new favorite person.
T. Dalton Combs
T. Dalton CombsMakerHiring@tdaltonc1
@steveraffner @ramsay_brown Next time you're in LA. Please stop by for a free beer.