Hey all,

I'm currently developing n1.tools, a tool to help people conduct simple N-of-1 experiments to understand the causal effect of various interventions on themselves, and I'd like to get some feedback on how to improve the product from the Manifold Markets community. Testing out a bounty market to see if it's useful for getting this kind of feedback.

The tracker currently has the following features:

- Details of some N-of-1 experiments (like this experiment on Binaural Beats)
- A dashboard that allows users to: Register their experiments, add their daily data for an experiment, and then display a bunch of visualisations and stats generated from the data. The most useful of these is a Kernel Density Plot, which shows the probability of different effect sizes for the intervention vs skipping the intervention.

The image below shows the dashboard from my experiment testing the effect of Alpha-GPC on my focus.

Although I have 37 registered users, active consistent usage is low, and I'd like to pinpoint why. Ideally I'd get to a point where 10 people are using my tool consistently, and continue to build from there.

Here are some improvements I'm considering (not in any particular order):

• Simplifying experiment setup, possibly through selling placebos or "N-of-1 experiment kits." (Note: I created placebobeats.com as a simple starting experiment, but it hasn't yet had much traction)

• Integrating data from wearables like the Oura ring or Apple Watch.

• Adding a feature for users to guess if they've taken a placebo and then visually displaying their guess accuracy.

• Incorporating prediction markets to estimate the likelihood of an experiment's effect.

• Better onboarding of new users with a step-by-step guide.

• etc.

I think there's also a strong chance there's something jarring about the current implementation of the app that prevents people from actively using it. Bonus points to anyone that tests out the dashboard UX and gives good suggestions on how to make it more user-friendly

Feel free to +1 one of my suggestions, rank them in order of priority, or provide any other feedback below. Thank you!