How do we rank and evaluate relationships to help you stay in touch with your contacts

Search for a command to run...

No comments yet. Be the first to comment.
You've got to start somewhere right. You've got your landing page and maybe even an MVP, but no one is visiting your website! How do you actually get those first 100 users? I've been there myself with my startup, and I would have loved to read such ...

From time to time, we have this realization that we've lost touch with some people. In my case, it was scrolling through my Whatsapp conversations and realizing that there were people I had totally forgot to stay in touch with. Unless you're some ...
# Find Product Market Fit with our new Segment integration No need to repeat it, as a startup founder, you know that you've got to talk to users. Only, it's not that easy... Which users should you talk to? Where do you keep track of what your user...
Starting a business always requires you to take many decisions, early on. Because these decisions are more or less poorly informed, they look a lot like bets. We've tried to avoid the zeros, the black swans. The one bad decision that could kill all ...

Nat is a relationship management app. We help our users stay in touch with the people they meet. Analyzing data, understanding and evaluating relationships is at the core of our business. In this article, I'd like to share how we think about this and how our app works in the background. Let's start with the first question: what is a relationship?
Just to clarify, we mean "relationship" in the general sense. There is a relationship between two people who know each other. We're not talking about being in love.
If you've used your email address for more than a year, you've most likely interacted with over 1'000 email addresses. Some as friends, colleagues and people you met, many are newsletters and informational emails and most are transactional emails such as flight tickets, purchase confirmations, delivery updates, ...
What this means is that most of the emails that come to your inbox are not sent by contacts of yours. Here is how we decide who's a contact of yours, and who's not.
We consider that the relationship needs to be bi-directional. If you're someone's contact, he should be your contact as well. Basically, what this means is that you both need to have sent at least one email to the other. Besides, we'll also look at the ratio of sent emails versus received.
For example, you might have replied once to a marketing email but they emailed you two-hundred times. This ratio would suggest that this is not really a relationship, and that's how our app will view this as well.
There is an infinite way in which relationships are created. There are as many ways in which they discontinue.
Our general thesis is that at some point, relationships become stable and that in order to continue, this stable rhythm and intensity needs to be maintained. For now, our app only measures the number of interactions and the strength of interactions in a basic way (meeting is more intense then sending an email)
To give you an example, you might meet someone at an event, chat every day for a week regarding a potential project, start the project and finish it a month later. From there on, you stop interacting daily and meet or exchange once per month.
Here is how our AI would understand the relationship over time:
As a reminder, relationship strength is shown through the coloured bar in the contact view. Green means you're in touch and red means you're totally losing touch.
The way it works is that our app will figure out a trend for every stage of the relationship based on your data. Using this trend as a baseline, our app will compare it with your data to see if the trend is continuing or if you're not communicating enough (in which case you'd be losing touch). Here is a short animation:

We're happy to answer any additional questions you might have!
This article will be adjusted as our app becomes more complex