“Firing” first-line managers and stabilizing conversion into dialogue and meetings is also about conversion, but it sounds completely different.
And if we talk about our current solution, the hypothesis is to fire the first line of managers who are responsible for setting up meetings.
We are making a Conversation AI platform that qualifies a lead, makes sure that it is an MQL, pulls the lead into a dialogue in a “hard” channel, books a meeting with him at the right time and makes sure that he gets there. You could say AI Sales on steroids.
The point is that it creates a process, but in a fundamentally new way .
The first thing, of course, is to make decisions.
What hypothesis are we testing? What is the team's focus? What is our product about?
So we changed the focus from conversion to creating AI Sales assistants. The decision is quite important from the point of view of product strategy. And you need to have the ability to make such decisions.
If the hypothesis doesn't work, whose responsibility is it?
Decisions that affect the entire team cannot be made by a person who is not responsible for the entire team and its results.
The second point is interaction with clients.
To make informed, strong decisions, you need a lot of context. The more data you gather, the deeper you dive into it, the stronger your hypotheses become.
That is, 50% of this is intuition, and the other 50% is observation.
Communication with clients is the biggest channel for training your intuition. I talk to a client and say, "Oh, it seems like there's a growth point here," and then my task is to connect the vision of the solution with what I saw from the client .
And hypotheses need to be discussed with the team.
If I don't do this, then I take all the responsibility for the decision I made on list of spain cell phone number myself. Without any filter, without any feedback from the world, etc.
And therefore, the opportunity to talk to someone (an expert, a team, a client) is an opportunity to check, to validate your decision. Because if it is wrong, it will affect the results of the entire team.
Are we succeeding?
We have early adopters who took this risk with us and continue to pay because we create value for them. But have we found PMF? No
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