Skip to main content

Mobile platforms

Watching Steve Levin's talk on Infoq about multiple mobile platform development, I asked myself the average time I concentrate on each product management skill.
Refering to the 280group manifesto,I understand this talk will help me to improve my market and the technology knowledge.

About platforms, I recorded the following remarks.
Each platform has something annoying:
  • The Iphone's black-boxed application validation process,
  • Android UI which needs to improved,
  • Windows mobile and its API, badly implemented by manufacturers,
  • Blackberry's OS which is based on an old one.
If you want to know more about one subject, go to the video and click on the question that is stir your interest. The video will be set to the question to which you need an answer.

From the distribution point of view, I really agree with his remarks about the Apple Store, that I would summarize thus:
  • Apple has a built-in store system and nothing more has to be done by the end user (e.g. adding an application installer),
  • People do not really want to buy applications, but want to buy many different things using a common process. The Apple store is mobile supermarket.
  • People want to pay for and use an application regarding a current need. So the "In purchase application model" is an answer to the user's wishes (e. g. I'm travelling to Greece and I want the mountain map of the islands for two weeks).
Source :
280group : Product Management Manifesto
Infoq. : InfoQ: Steve Levin on Challenges Developing for Multiple Mobile Platforms
Apple: In App Purchase - Get Ready for iPhone OS 3.0 - iPhone Developer Program

Comments

Popular posts from this blog

Wikipedia statistics

Statistics have been published about Wikipedia and Wikimedia ( PDF Here) . The first lines are: According to comScore, Wikipedia is the fourth most popular web property, world-wide. In June, it served 327 million unique visitors. Wikipedia is available in 266 languages. It is continually expanded by approximately 100,000 active volunteer editors world-wide. The English version alone contains more than 2.9 million articles. All language editions combined contain more than 13.1 million articles. Next to English, the largest Wikipedia editions are German (911,000 articles), French (798,000 articles), Polish (600,000 articles), and Japanese (587,000 articles). For more see the original document . Sources : Resource Shelf : Updated: Key Statistics About Wikipedia and Wikimedia Foundation (September, 2009) « ResourceShelf

Lancement de ProductTank Lyon

Mise à jour 05/05/2023 : Le COVID aura tué ma motivation d’essayer de relancer ce meetup. Peut-être que d’autres le feront.  ---- Tout d’abord, bonne année 2020. Je me suis investi ces dernières années dans les communautés/événements CARA Lyon, MiXiTConf, LyonDataScience et CaféDevOps sur Lyon, France. Ces activités m’ont permis de comprendre les experts de ces domaines, d’apprendre quelques notions fondamentales à travers leurs exposés et d’améliorer mes capacités d’échange avec eux. Product Manager depuis plus de 5 ans, je désire améliorer mes réflexes et compétences dans mon domaine. Le faire à travers des rencontres/meetup est ce que je préfère et j’aimerais retrouver la stimulation des communautés dans cette discipline. En cette année 2020, quelques Product Manager lyonnais, lançons, le meetup ProductTankLyon à Lyon, France. Le réseau ProductTank compte plus de 150 meetups dans le monde et profite des conférences, blog et podcast MindTheProduct. Inscrivez-vous ici , si vou

Learning about Data Science?

This is the end of a beautiful summer, and also one of the warmer recorded in France. I’m continuing my journey in the product management world and today I’m living in the product marketing one too. I will blog about this later. During this first half of this year, I read several articles on big data and started to understand how important the data science discipline is. Being able to define a direction/goal to search, collecting the proper data, then using a collection of techniques to extract something others can’t see - it sounds like magic. Also, when I listened to the Udacity Linear Disgression podcast episode “Hunting the Higgs”, I understood people with these skills can be better at solving a problem than the domain experts themselves. Katie Malone explained that in a competition to solve a particle physics problem, the best results came from machine learning people. Then I read the article about Zenefit on the vision mobile website : “Zenefits is an insurance compan