the user is within the service's geographic coverage area;
Posted: Tue Jan 21, 2025 5:18 am
Example of design of the path to aha-moment
Services try to make the path to the aha moment as short as possible through design and a well-thought-out path
To achieve an aha moment, it is important to fulfill several conditions:
cars available for ordering close the user's task;
the user has successfully connected and used one of the payment methods;
The car arrived quickly and delivered us comfortably to point B within the promised time.
Activation in the habit tracking app
The user activation path in the habit tracker will be different from the product we described above.
The ideal user will also be someone who tried the application and after a list of afghanistan cell phone number while began to choose it to solve the problem of tracking progress by habits.
But a potential aha moment could be an improvement in morale within a week of registration. Or a high-quality and exciting chat with another user within a day of registration, a reaction to your progress. Such target events will allow you to feel progress in solving the task and social approval.
Example of shortening the path to aha-moment
Habit Tracker takes into account the importance of habit psychology and adds a social aspect
Then the conditions for achieving the aha moment will be:
the user has selected habits to track and filled out a profile;
the user marks habits for 7 days and subscribes to several other profiles;
the user received at least one reciprocal subscription.
In the examples above, we didn't just indicate the specific use case (task) with which the user comes to the product. This is because one product can be used to solve different problems. For users with different tasks, the added value will differ. This means that the definitions of success and aha moments will differ, as will the steps to achieve them.
Wrote a book on how to conduct useful customer research and what frameworks to use. Should I share it with you?
Wrote a book on how to conduct useful customer research and what frameworks to use. Should I share it with you?
A common mistake when determining the aha moment: choosing a method
The most common mistake is to start the search with quantitative methods of analysis. Teams look for dependencies between actions and long-term user success, study the dynamics of retention metrics in different segments.
Why this is an error:
quantitative methods do not allow taking into account use cases. And users have different tasks and activation paths, aha-moments are also different.
quantitative metrics do not take into account the user context, available alternatives, or added value of the product. Without this information, it is difficult to understand the user's motives and build mechanisms for delivering value.
It is better to start searching for an aha moment with qualitative methods of analysis, and then refine it using quantitative ones.
Qualitative methods
To identify potential aha moments, answer the following questions:
For what purpose has your product achieved product/market fit?
What are the alternatives to solve this problem?
How does your product create added value compared to them?
The best way to get answers is to research user data and conduct in-depth JTBD interviews with those who have realized the value of the product and started using it regularly.
At this stage, you don't need to define the aha-moment precisely. Your task is to select several "candidate" actions for this role.
Quantitative methods
Let's imagine that qualitative research has helped narrow down the set of potential aha moments within a specific use case. Next, we need to use quantitative methods to select the optimal aha moment and the corresponding metric.
Services try to make the path to the aha moment as short as possible through design and a well-thought-out path
To achieve an aha moment, it is important to fulfill several conditions:
cars available for ordering close the user's task;
the user has successfully connected and used one of the payment methods;
The car arrived quickly and delivered us comfortably to point B within the promised time.
Activation in the habit tracking app
The user activation path in the habit tracker will be different from the product we described above.
The ideal user will also be someone who tried the application and after a list of afghanistan cell phone number while began to choose it to solve the problem of tracking progress by habits.
But a potential aha moment could be an improvement in morale within a week of registration. Or a high-quality and exciting chat with another user within a day of registration, a reaction to your progress. Such target events will allow you to feel progress in solving the task and social approval.
Example of shortening the path to aha-moment
Habit Tracker takes into account the importance of habit psychology and adds a social aspect
Then the conditions for achieving the aha moment will be:
the user has selected habits to track and filled out a profile;
the user marks habits for 7 days and subscribes to several other profiles;
the user received at least one reciprocal subscription.
In the examples above, we didn't just indicate the specific use case (task) with which the user comes to the product. This is because one product can be used to solve different problems. For users with different tasks, the added value will differ. This means that the definitions of success and aha moments will differ, as will the steps to achieve them.
Wrote a book on how to conduct useful customer research and what frameworks to use. Should I share it with you?
Wrote a book on how to conduct useful customer research and what frameworks to use. Should I share it with you?
A common mistake when determining the aha moment: choosing a method
The most common mistake is to start the search with quantitative methods of analysis. Teams look for dependencies between actions and long-term user success, study the dynamics of retention metrics in different segments.
Why this is an error:
quantitative methods do not allow taking into account use cases. And users have different tasks and activation paths, aha-moments are also different.
quantitative metrics do not take into account the user context, available alternatives, or added value of the product. Without this information, it is difficult to understand the user's motives and build mechanisms for delivering value.
It is better to start searching for an aha moment with qualitative methods of analysis, and then refine it using quantitative ones.
Qualitative methods
To identify potential aha moments, answer the following questions:
For what purpose has your product achieved product/market fit?
What are the alternatives to solve this problem?
How does your product create added value compared to them?
The best way to get answers is to research user data and conduct in-depth JTBD interviews with those who have realized the value of the product and started using it regularly.
At this stage, you don't need to define the aha-moment precisely. Your task is to select several "candidate" actions for this role.
Quantitative methods
Let's imagine that qualitative research has helped narrow down the set of potential aha moments within a specific use case. Next, we need to use quantitative methods to select the optimal aha moment and the corresponding metric.