Segment your audience

Assign personas to each user to paint a picture of your target customers.
Once you have survey data, it's time to segment your audience.

The core principle here is to deliberately not serve all users: it is better to make a product that a small number of people love, rather than a product that a large number of people somewhat like.

The Superhuman product/market fit engine massively optimizes for a product that a small number of people really love!

Define personas
The first step is to define a set of personas for your product. We used the personas below for Superhuman. (You can edit this table so that it contains your personas!)
Persona
1
Student
2
Unemployed/Retired
3
Professionals
4
Labour worker
5
Rideshare driver
There are no rows in this table
Assign personas
Next, assign a persona to each survey response.

When searching for product/market fit, most people try to change the product. It is actually much more efficient to first try and change the market. By assigning personas, you can quickly test different markets.

You can take a look at the Superhuman data below. (Pro-tip: sort by job title to make assigning personas faster.)
Submit Date
Persona
What is your occupation?
1
Professionals
IT
2
Labour worker
I work in call centers.
3
Labour worker
I am a truck driver
4
Unemployed/Retired
Unemployed
5
Labour worker
Security
6
Rideshare driver
Job
7
Rideshare driver
Uber
8
Rideshare driver
I only drive DIDI
9
Rideshare driver
Other job
10
Labour worker
cook
11
Unemployed/Retired
Retired
12
Labour worker
Cabinet maker
13
Professionals
Chef
14
Labour worker
Truck driver
15
Professionals
Digital marketing
16
Professionals
TELECOM ENGINEER
17
Rideshare driver
Uber
18
Rideshare driver
Self employed
19
Professionals
Social support worker. Marketing officer and media freelanc.
20
Rideshare driver
Driving
21
Rideshare driver
Uber
22
Professionals
Marketing
23
Rideshare driver
Only working as ride share driver at the moment
24
Labour worker
Delivery boy
25
Labour worker
Maintenance
26
Student
Students
27
Labour worker
Forklift driver
28
Professionals
Was working for Telstra
29
Unemployed/Retired
Nothing any Other occupassion
30
Rideshare driver
N/A
31
Labour worker
Security
32
Rideshare driver
Uber and OLA pay more then DiDi
33
Professionals
Software employee
34
Unemployed/Retired
Jobless
35
Labour worker
Welder
36
Labour worker
mechanic
37
Rideshare driver
Uber
38
Unemployed/Retired
Unemployed
39
Rideshare driver
only job is didi
40
Rideshare driver
Uber/Ola
41
Rideshare driver
Nothing
42
Professionals
Life Coach
43
Professionals
Teacher
There are no rows in this table

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