It took us about 10 weeks of work ( Mahmoud Salaheldin iqraalyвЂ™s Technical Manager back then and myself, the co-founder and General Manager) to figure out the path towards analyzing the aha-moment, in addition to trying to do the analysis itself. However, nobody usually tells you the methodology to identify a productвЂ™s aha-moment, which is what IвЂ™m trying to compensate for with this article.

They also might state the identified aha-moments of large products like Facebook, Dropbox, Zynga, Twitter and perhaps others ( here). How do you run an aha-moment analysis?ДЄ lot of blogs state the importance of identifying the aha-moment of a product. The aha-moment sits at the very core of identifying the user retention pattern of a mobile/web product, specifically mid- to long-term retention and user retention is the defining success factor of any consumer app/tech-product, as it is the main component in calculating an appвЂ™s ARPU (Average Recurring Revenue Per User) and ARPPU (Average Recurring Revenue Per Paying User). The aha-moment is the set of events or certain experience a user has with a product that transforms him/her from a casual user trying out the app into an avid, hardcore, loyal user that will stick with the app until вЂњforeverвЂќ.

Mischief, learning, value, pain and pleasureДЄmong the progressive and relatively avant-garde activities IвЂ™m proud we did in iqraaly is trying to analyze the reasons why people continue using iqraaly (our app for narrated Arabic audiobooks, audio articles and podcasts) for longer times, commonly known as the aha-moment or magic-moment of a tech-product.

Aha moment.