The questions in kb.md are too long. They need to be edited to follow the QnA data guidelines below, as suggested by @SAAnderson

QnA data guidelines

Starter for some guidelines around building good QnA training data for a bot service.

Questions

To help the models the questions in the training data need to succinct:
- Not this: "How safe will staking be? Will the “average Joe” be able to stake without having to worry about his/hers OMGs? Will there be certain precautions that will need to be taken in order to prevent being hacked?"
- ...but this: "How safe will staking be?"
- ...or this: "Will staking be safe?"
We probably need to be careful about having overlapping Q&As in different places
- TODO: Can we prioritise one answer over another with metadata?
If the questions are short we can probably automate generating phrasing variations to help the models
- You can plug Active learning into the Azure bot service now too

Should be triaged to make sure they are acceptable (clear, correct, free from the usual troll stuff if they are from the community)
- TODO: how to sign these off? Pull request?
The QnA bot should provide the pointer to the correct response, not the answer. IMO: PickledN