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Hi, everyone. My name is Sergey Beresuke and I'm CTO and co-founder of Panda Doc.

And today we're going to be talking about how we are doing this continuous delivery of the product.

My talk is going to be slightly different from the business talks, because I'm going to be

talking more about the production side. That's what I do. And I manage product and engineering.

So that's why sometimes I have arguments with myself. Yeah, but so 800 product updates.

You might call BS, but I checked today, like how many did we do today? 24 so far.

Day is still going. And so that's all the updates we're delivering to production, which our

customers can already use. The question is, why would you care about this? And so let's take a look

at the product lifecycle.

And my assumption here in hunch that many of you founders, and even ourselves,

we are playing in these two first stages, introduction and growth, right?

What's important in those two stages is that, so we need to learn a lot in iterate

to, in the first stage, to find this product market fit, to test ideas, to validate things.

And with the growth stage, so we need to close this gap really quickly to deliver the value to the customers and actually get this leader position on the market.

What do we do to do this is we're going through this continuous learning cycle.

So we have a hypothesis, so we do something, we launch this, we test and validate, we measure, then we iterate and change.

The speed of this continuous learning cycle depends on the speed of the slowest link in this cycle.

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