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Posts from the ‘Mobile’ Category

My Letter to Starbucks Mobile

Dear Starbucks,

We’ve been close friends for years. I see you almost every day, some days more than once. I’ve visited you in over half a dozen countries, and there are probably half a dozen locations in Silicon Valley where you know me and my drink by name. I’ll be there for you when you need me, and I know you’ll be there for me when I need you.

My girlfriend at Starbucks, Cambride, MA in 2000

My girlfriend at the Starbucks in Harvard Square (2000)

That’s why we need to talk. About your mobile app.

Starbucks Mobile is a Homescreen App

I use your mobile app every day. I love that it works in different countries. I love that it auto-reloads, and it (finally) gives me free drinks without the annoyance of postcards in the mail. And I will tell you, the Starbucks store-finder is a life saver in more ways than one.

Home Screen

It’s on the homescreen of my iPhone 5. Not in a folder. 2nd row. It’s #8 with a bullet.

I want you to know me

There are barristas at five different Starbucks who know the drink I normally order. The one in Los Altos actually knows the drink I usually order for my wife too. And yet, after over 1000 orders, you still don’t know my favorite drink?

The Starbucks app should:

  • Know what drinks I’ve ordered, and rank them by the number of times I’ve ordered them.
  • Know what I’ve tried, and what I should try.

Your best barristas try to know their customers & their drinks. Why not your app?

I want to know where I’ve been, and where I’m going

I’ve been to dozens of different Starbucks. If I drop the kids off a school, I might grab my morning drink at the Starbucks on Alma. If I’m late, I might go straight to the office, and walk to the one on University. If I’m heading to San Francisco, I’ll stop at the one in Los Altos before jumping on 280.

The Starbucks app should:

  • Have a hot list of Starbucks I’ve visited, ranked either by recency or by frequency
  • For each visited Starbucks, show me when I visited them last. Show me what I ordered.
  • If I break pattern, it’s even OK to suggest a drink to me.

You could know all of this, of course. But you don’t care.

I want you to care about my opinion

On most days, your barristas do a great job. But did you know that the line at the Los Altos location is really long during the week? Or that the Starbucks on Alma is the fastest?

Did you know that sometimes, your barristas see me, place my order, and have it made before I get to the head of the line?

I want to tell you these things. I want to let you know when your barristas are amazing. I want to tip them. I want them to get promotions. I want them to know they are appreciated.

The Starbucks app should:

  • Let me tell you when the line is long (like Waze)
  • Let me tell you when I waited a long time for my drink
  • Let me tell you when my drink was made poorly
  • Let me give kudos when my drink came quickly
  • Let me tip when my drink came quickly

Your mobile app eliminates tipping, and devalues my relationship with the barristas. It should be the other way around.

I want you to save me time

I love the Starbucks experience. But the truth is, I go to Starbucks for four different reasons, in order of frequency:

  1. I go for my daily coffee on the way to work.
  2. I walk to Starbucks for a meeting.
  3. I go to Starbucks as part of a social destination.
  4. I go to Starbucks to relax and read.

The problem is, you seem to only care about the last 3. For the first use case, I just don’t have time to kill. I’m alone, and I need to get in and out as quickly as possible. I love you, but sometimes I just don’t have time for the experience. I promise, we’ll catch up later.

The Starbucks app should:

  • Know my favorite orders
  • Let me order & pay for them before I get in the car
  • Have them ready for pickup when I arrive
  • Let me know when the order is ready

If you are worried about the casual user not getting the “Starbucks experience”, I understand. Maybe this should be a perk for being a frequent customer?

Last Thoughts

Since we’re being open and honest, I might as well tell you what no one else is. Just stop with the nonsense with the app of the day, song of the day. You are giving me a red badge on my app EVERY DAY for something that no one wants. It’s beneath you. You are better than that.

Notify me because you have a new drink, and since I’m such a loyal customer, I get one free.

Notify me because 95% of the time I’ve visited Starbucks on Wednesday by 10am, and check to see if I want one today on the house?

I don’t want to hear about wireless charging mats. Seriously.

I love you Starbucks. Tell me you love me back.

Blackberry’s Impossible Mission

Today, Research in Motion Blackberry announced with great fanfare their new Blackberry 10 operating system and devices.  Unfortunately, the market has shifted so radically in the past few years, it’s not clear to me what path exists for any meaningful success for Blackberry.

Blackberry is on an impossible mission.

Why Blackberry?

I used a Blackberry for over seven years.  In fact, I didn’t move to the iPhone until the 3G came out with the native application platform.  Like many, I was addicted to the perceived and actual productivity of messaging on the Blackberry and the physical keyboard.

Like most people who make the switch, it took me a few weeks to get to be “good enough” to type and message effectively on the iPhone.  The millions who are still on the Blackberry tend to focus on exactly one issue: the Blackberry is an amazing messaging device, thanks to the keyboard & software optimization.

The Victory of the Touch Screen

I remember, in 2009, making a Blackberry my temporary “full time” mobile device for a few days.  It was amazing – in just a year, I had completely lost all the muscle memory that made me so productive on the Blackberry.  The iPhone had won.

The reason is simple: a fast, modern device that offers the full richness of the modern web, combined with a vibrant and high quality native application market dominates the marginal efficiency in messaging.  Whether you use iOS or Android, minor productivity improvements in SMS & Email are swamped by access to applications, games, web services, cloud platforms and a myriad of other capabilities.  The smartphone itself has now evolved into a variety of form factors and niches, with phablets and tablets eating an increasing share of our attention and computing.

Blackberry’s Impossible Mission

Right now, it seems like Blackberry has no viable path as a third platform.

Yes, the ardent users of the platform can buy the new devices for their hardware keyboards.  But there aren’t enough of them (h/t to Daring Fireball), and it’s hard to imagine that this market won’t get eaten by the flexibility provided by the Android platform in time.

Yes, there are IT departments that continue to have their companies locked down on the Blackberry, but it’s unlikely the the new operating system won’t create sufficient migration issues that they won’t move to either iOS, Android or both as supported platforms.

The real problem is that their touchscreen product cannot possibly provide enough unique functionality to justify the choice over the iPhone or Android at the medium to high end.  At the low end, they cannot possibly underprice the Android ecosystem.

Damned if they do, Damned if they don’t

In other words, if they abandon their customer-defined differentiator (keyboard), they’ll lose all differentiation in the market.  If they don’t, they are left with an eroding, minority share of a market that is likely insufficient in size and economics to fund their continued development and support of a competitive mobile ecosystem.  As a developer, spending precious resources on this, at best, stagnant minority pool of potential users is tough to justify.

Microsoft can play this game, for a while, because they (still) have relatively unlimited free cash flow and a desktop platform that still boasts hundreds of millions of users.  Blackberry doesn’t.

User Acquisition: Cycle Time Matters

This is an extension to my original three post series on user acquisition.

Over the past few months I been fortunate enough to give over a dozen talks at various events and companies about user acquisition, virality and mobile distribution.  One of the best parts of the experience is that, without fail, every talk yields a new set of questions and insights that help me learn and refine my own thinking on distribution & growth.

One of the most common questions I get is around the difference between my definition of “viral factor” and the semi-standard definition of “K Factor” that has been floating around for a few years.

What’s a K Factor?

Wikipedia offers a fairly concise definition of a K factor, a term borrowed from epidemiology.

i = number of invites sent by each customer
c = percent conversion of each invite
k = i * c

As the wikipedia article explains:

This usage is borrowed from the medical field of epidemiology in which a virus having a k-factor of 1 is in a “steady” state of neither growth nor decline, while a k-factor greater than 1 indicates exponential growth and a k-factor less than 1 indicates exponential decline. The k-factor in this context is itself a product of the rates of distribution and infection for an app (or virus). “Distribution” measures how many people, on average, a host will make contact with while still infectious and “infection” measures how likely a person is, on average, to also become infected after contact with a viral host.

What’s a Z Factor?

This blog post from Mixpanel in 2009 does a great job of walking through the standard definition of Z factor.  Hat tip to Dave McClure for his slide, which is included in the post.

Based on this framework, the Z factor is literally the percentage of users who accept a viral invitation that they receive.

The Problem with K & Z Factors

I meet with a startup that told me proudly that they had measured the viral factor of their new service, and that it was over 2.  My first question, of course, was:

“over what time period?”

In my blog post on viral factor basics, I define a viral factor as follows:

“Given that I get a new customer today, how many new customers will they bring in over the next N days?”

The key to understanding viral math is to remember a basic truth about rabbits.  Rabbits don’t have a lot of rabbits  because they have big litters.  Rabbits have a lot of rabbits because they breed frequently.

You’ll notice that, unlike the other popularized definitions, I focus on a new variable, “N”, the number of days it takes for your viral cycle to complete.  I do this for a simple reason: cycle time matters.   The path to success is typically the combination of a high branching factor combined with a fast cycle time. If you don’t think deeply about the channels you are using for viral distribution, you risk prioritizing the wrong features.

How Do You Pick the Right Cycle Time?

Once a growth team digs into the numbers, they quickly realize that there is no one “cycle time”.  So what number do you pick for analysis?

There is no right answer, but in general, you tend to find in the data that there is a breakpoint in the data where a vast majority of all viral events that are going to complete are going to complete.  For example, maybe with a viral email you’d see most responses happen in 24 hours, with 90% of total responses happening within 3 days.  If that’s the case, picking 3 days might be the right cycle time for your feature.  Once you pick a cycle time, the conversion rate gets built into your projections.

Cycle Time Matters

If you are already focused on the new user experience, distribution and virality, well then kudos to you and team.  Too many consumer products to this day spend too little time focused on these problems.

But if you want to see clear, demonstrable progress from your growth team, make sure you include cycle time in your thinking about what viral features will be most effective for your product.

Now go out and make a lot of rabbits.

The Future of Social Networking at Singularity U

Last week, I was asked to give a guest lecture at Singularity University on the topic “The Future of Social Networking

To frame the discussion, I chose to walk through the following structure:

  • Web 1.0 vs. Web 2.0
  • Social Networking as a disruptive platform
  • LinkedIn as an example of a social platform
  • Mobile as a disruptive accelerator for social platforms
  • Thoughts on future disruptions

On a personal note, I hadn’t actually been back to visit NASA Ames Research Center since my internship during my senior year in high school (21 years ago).  Back then, I was helping develop simulation software for fluid dynamics simulations in Fortran.  Thankfully, no one asked me to code in Fortran during the Q&A.

The team at Singularity U was incredibly gracious, and I appreciated the opportunity to talk to the class.

The Game Has Changed. Design for Passion.

One of the most exciting developments in software has been a resurgence in the focus and priority on design.  With the growing dominance of social platforms and mobile applications, more and more people are growing comfortable productively discussing and utilizing insights about human emotion in their work.

Google: The Era of Utility

The progress of the last five to seven years is really a significant breakout from the previous generations of software design.

For decades, software engineers and designers focused on utility:  value, productivity, speed, features or cost.

If it could be quantified, we optimized it.  But at a higher level, with few exceptions, we framed every problem around utility.  Even the field of human-computer interaction was obsesses with “ease of use.”  Very linear, with clear ranking.  How many clicks? How long does a task take?  What is the error rate?

In some ways, Google (circa 2005) represented the peak of this definition of progress.  Massive data.  Massive scalability. Incredibly utility.  Every decision defined by quantifying and maximizing utility by various names.

But let’s face it, only computer scientists can really get passionate about the world’s biggest database.

Social: The Era of Emotion

Like any ecosystem, consumer technology is massively competitive.  Can you be faster, cheaper, bigger or more useful than Google?  It turns out, there is a more interesting question.

Social networks helped bring the language of emotion into software.  A focus on people starts with highly quantifiable attributes, but moves quickly into action and engagement.

What do people like? What do they hate? What do they love? What do they want?

In parallel, there have been several developments that reflect similar insights on the web, in behavioral finance, and the explosion in interest in game mechanics.

Human beings are not rational, but (to borrow from Dan Ariely) they are predictably irrational.  And now, thanks to scaling social platforms to over a billion people, we have literally petabytes of data to help us understand their behavior.

Passion Matters

Once you accept that you are designing and selling a product for humans, it seems obvious that passion matters.

We don’t evaluate the food we eat based on metrics (although we’d likely be healthier if we did).  Do I want it? Do I love it? How does it make me feel?

The PayPal mafia often joke that great social software triggers at least one of the seven deadly sins. (For the record, LinkedIn has two: vanity & greed).  Human beings haven’t changed that much in the past few thousand years, and the truth is the seven deadly sins are just a proxy for a deeper insight.  We are still driven by strong emotions & desires.

In my reflection on Steve Jobs, he talks about Apple making products that people “lust” for.  Not the “the best products”, “the cheapest products”, “the most useful products” or “the easiest to use products.”

Metrics oriented product managers, engineers & designers quickly discover that designs that trigger passion outperform those based on utility by wide margins.

The Game Has Changed

One of the reasons a number of earlier web giants are struggling to compete now is that the game has changed.  Utility, as measured by functionality, time spent, ease-of-use are important, but they are no longer sufficient to be competitive. Today, you also have to build products that trigger real emotion.  Products that people will like, will want, will love.

Mobile has greatly accelerated this change.  Smartphones are personal devices.  We touch them, they buzz for us. We keep them within three feet of us at all times.

Too often in product & design we focus on utility instead of passion.  To break out today, you need to move your efforts to the next level.  The questions you need to ask yourself are softer:

  • How do I feel when I use this?
  • Do I want that feeling again?
  • What powerful emotions surround this product?

Go beyond utility.  Design for passion.

User Acquisition: Mobile Applications and the Mobile Web

This is the third post in a three post series on user acquisition.

In the first two posts in this series, we covered the basics of the five sources of traffic to a web-based product and the fundamentals of viral factors.  This final post covers applying these insights to the current edge of product innovation: mobile applications and the mobile web.

Bar Fight: Native Apps vs. Mobile Web

For the last few years, the debate between building native applications vs. mobile web sites has raged.  (In Silicon Valley, bar fights break out over things like this.) Developers love the web as a platform.  As a community, we have spent the last fifteen years on standards, technologies, environments and processes to produce great web-based software.  A vast majority of developers don’t want to go back to the days of desktop application development.

Makes you wonder why we have more than a million native applications out there across platforms.

Native Apps Work

If you are religious about the web as a platform, the most upsetting thing about native applications is that they work.  The fact is, in almost every case, the product manager who pushes to launch a native application is rewarded with metrics that go up and to the right.  As long as that fact is true, we’re going to continue to see a growing number of native applications.

But why do they work?

There are actually quite a few aspects to the native application ecoystem that make it explosively more effective than the desktop application ecosystem of the 1990s.  Covering them all would be a blog post in itself.  But in the context of user acquisition, I’ll posit a dominant, simple insight:

Native applications generate organic traffic, at scale.

Yes, I know this sounds like a contradiction.  In my first blog post on the five sources of traffic, I wrote:

The problem with organic traffic is that no one really knows how to generate more of it.  Put a product manager in charge of “moving organic traffic up” and you’ll see the fear in their eyes.

That was true… until recently.  On the web, no one knows how to grow organic traffic in an effective, measurable way.  However, launch a native application, and suddenly you start seeing a large number of organic visits.  Organic traffic is often the most engaged traffic.  Organic traffic has strong intent.  On the web, they typed in your domain for a reason.  They want you to give them something to do.  They are open to suggestions.  They care about your service enough to engage voluntarily.  It’s not completely apples-to-apples, but from a metrics standpoint, the usage you get when someone taps your application icon behaves like organic traffic.

Giving a great product designer organic traffic on tap is like giving a hamster a little pedal that delivers pure bliss.  And the metrics don’t lie.

Revenge of the Web: Viral Distribution

OK. So despite fifteen years of innovation, we as a greater web community failed to deliver a mechanism that reliably generates the most engaged and valuable source of traffic to an application.  No need to despair and pack up quite yet, because the web community has delivered on something equally (if not more) valuable.

Viral distribution favors the web.

Web pages can be optimized across all screens – desktop, tablet, phone.  When there are viral loops that include the television, you can bet the web will work there too.

We describe content using URLs, and universally, when you open a URL they go to the web.  We know how to carry metadata in links, allowing experiences to be optimized based on the content, the mechanism that it was shared, who shared it, and who received it.  We can multivariate test it in ways that border on the supernatural.

To be honest, after years of conversations with different mobile platform providers, I’m still somewhat shocked that in 2012 the user experience for designing a seamless way for URLs to appropriately resolve to either the web or a native application are as poor as they are.  (Ironically, Apple solved this issue in 2007 for Youtube and Google Maps, and yet for some reason has failed to open up that registry of domains to the developer community.)  Facebook is taking the best crack at solving this problem today, but it’s limited to their channel.

The simple truth is that the people out there that you need to grow do not have your application.  They have the web.  That’s how you’re going to reach them at scale.

Focus on Experience, Not Technology

In the last blog post on viral factors, I pointed out that growth is based on features that let a user of your product reach out and connect with a non-user.

In the mobile world of 2012, that may largely look like highly engaged organic users (app) pushing content out that leads to a mobile web experience (links).

As a product designer, you need to think carefully about the end-to-end experience across your native application and the mobile web.  Most likely, a potential user’s first experience with your product or service will be a transactional web page, delivered through a viral channel.  They may open that URL on a desktop computer, a tablet, or a phone.  That will be your opportunity not only to convert them over to an engaged user, in many cases by encouraging them to download your native application.

You need to design a delightful and optimized experience across that entire flow if you want to see maximized self-distribution of your product and service.

Think carefully about how Instagram exploded in such a short time period, and you can see the power of even just one optimized experience that cuts across a native application and a web-based vector.

Now go build a billion dollar company.

User Acquisition: The Five Sources of Traffic

This is the first post in a three post series on user acquisition.

The topic of this blog post may seem simplistic to those of you who have been in the trenches, working hard to grow visits and visitors to your site or application.  As basic as it sounds, however, it’s always surprising to me how valuable it is to think critically about exactly how people will discover your product.

In fact, it’s really quite simple.  There are only really five ways that people will visit your site on the web.

The Five Sources of Traffic

With all due apologies to Michael Porter, knowing the five sources of traffic to your site will likely be more important to your survival than the traditional five forces.  They are:

  1. Organic
  2. Email
  3. Search (SEO)
  4. Ads / Partnerships (SEM)
  5. Social (Feeds)

That’s  it.  If someone found your site, you can bet it happened in those five ways.

The fact that there are so few ways for traffic to reach your site at scale is both terrifying and exhilarating.  It’s terrifying because it makes you realize how few bullets there really are in your gun.  It’s exhilarating, however, because it can focus a small team on exactly which battles they need to win the war.

Organic Traffic

Organic traffic is generally the most valuable type of traffic you can acquire.  It is defined as visits that come straight to your site, with full intent.  Literally, people have bookmarked you or type your domain into their browser.  That full intent comes through in almost every produto metric.  They do more, click more, buy more, visit more, etc.  This traffic has the fewest dependencies on other sites or services?

The problem with organic traffic is that no one really knows how to generate more of it.  Put a product manager in charge of “moving organic traffic up” and you’ll see the fear in their eyes.  The truth is, organic traffic is a mix of brand, exposure, repetition, and precious space in the very limited space called “top of mind”.  I love word of mouth, and it’s amazing when it happens, but Don Draper has been convincing people that he knows how to generate it for half a century.

(I will note that native mobile applications have changed this dynamic, but will leave the detail for the third post in this series.)

Email Traffic

Everyone complains about the flood of email, but unfortunately, it seems unlikely to get better anytime soon.  Why?  Because it works.

One of the most scalable ways for traffic to find your site is through email.  Please note, I’m not talking about direct marketing emails.  I’m referring to product emails, email built into the interaction of a site.  A great example is the original “You’ve been outbid!” email that brought (and still brings) millions back to the eBay site every day.

Email scales, and it’s inherently personal in its best form.  It’s asynchronous, it can support rich content, and it can be rapidly A/B tested and optimized across an amazing number of dimensions.  The best product emails get excellent conversion rates, in fact, the social web has led to the discovery that person to person communication gets conversion person over 10x higher than traditional product emails.  The Year In Review email at LinkedIn actually received clickthroughs so high, it was better described as clicks-per-email!

The problem with email traffic generally is that it’s highly transactional, so converting that visit to something more than a one-action stop is significant. However, because you control the user experience of the origination the visit, you have a lot of opportunity to make it great.

Search Traffic

The realization that natural search can drive traffic to a website dates back to the 90s.  However, it really has been in the past decade in the shadow of Google that search engine optimization scaled to its massive current footprint.

Search clearly scales.  The problem really is that everyone figured this out a long time ago.  First, that means that you are competing with trillions of web pages across billions of queries.  You need to have unique, valuable content measured in the millions of pages to reach scale.  SEO has become a product and technical discipline all it’s own. Second, the platform you are optimizing for (Google, Microsoft) is unstable, as they constantly are in an arms race with the thousands of businesses trying to hijack that traffic. (I’m not even going to get into their own conflicts of interest.)

Search is big, and when you hit it, it will put an inflection point in your curve.  But there is rarely anysuch thing as “low hanging fruit” in this domain.

Advertising (SEM)

The fourth source of traffic is paid traffic, most commonly now ads purchased on Google or Facebook.  Companies spend billions every year on these ads, and those dollars drive billions of visits.  When I left eBay, they were spending nearly $250M a year on search advertising, so you can’t say it doesn’t scale.

The problem with advertising is really around two key economic negatives.  The first is cash flow.  In most cases, you’ll be forced to pay for your ads long before you realize the economic gains on your site.  Take something cash flow negative and scale it, and you will have problems.  Second, you have solid economics.  Most sites conjure a “lifetime value of a user” long before they have definitive proof of that value, let alone evidence that users acquired through advertising will behave the same way. It’s a hyper-competitive market, armed with weapons of mass destruction.  A dangerous cocktail, indeed.

While ads are generally the wrong way to source traffic for a modern social service, there are exceptions when the economics are solid and a certain volume of traffic is needed in a short time span to catalyze a network effect.  Zynga exemplified this thinking best when it used Facebook ads to turbocharge adoption and virality of their earlier games like FarmVille.

Social Traffic

The newest source of scalable traffic, social platforms like Facebook, LinkedIn and Twitter can be great way to reach users.  Each platform is different in content expectations, clickthrough and intent, but there is no question that social platforms are massively valuable as potential sources of traffic.

Social feeds have a number of elements in common with email, when done properly.  However, there are two key differences that make social still very difficult for most product teams to effectively use at scale.  The first is permission.  On social platforms, your application is always speaking through a user.  As a result, their intent, their voice, and their identity on the platform is incredibly important.  Unlike email, scaling social feed interactions means hitting a mixture of emotion and timing.  The second issue is one of conversion.  With email, you control an incredible number of variables: content, timing, frequency.  You also have a relatively high metrics around open rates, conversion, etc.  With social feeds, the dynamics around timing and graph density really matter, and in general it always feels harder to control.

The Power of Five

Eventually, at scale, your site will likely need to leverage all of the above traffic sources to hit its potential.  However, in the beginning, it’s often a thoughtful, deep success with just one of these that will represent your first inflection point.

The key to exponential, scalable distribution across these sources of traffic is often linked to virality, which is why that will be the topic of my next post.

Product Leaders: User Acquisition Series

I can be pedantic about user acquisition.  The truth is that consumer web and mobile applications are under increasing pressure to demonstrate explosive exponential traction.  Building a great product is no longer sufficient, lest you be left with the best product in the world that no one has discovered.

As an engineer and designer by training, I didn’t always put this level of focus on traffic acquisition.  It wasn’t until we tried to build an entirely new site under the eBay brand (eBay Express) that I was forced to focus our team’s efforts on one large fundamental challenge: traffic acquisition.

Those struggles, some successful (and some not) led me to appreciate how profoundly the social web changed the metrics of distribution.  When we founded the growth team at LinkedIn in 2008, we were able to structure our thinking around user acquisition, measure it, and bend the curve significantly for the site. 

A special thanks to both Reid Hoffman and Elliot Shmukler, who both contributed significantly to my thinking on the subject.

History is Written by the Victors

History is written by the victors, and on the consumer web, victory is often defined by market distribution.  Growth does not just happen, it has to be designed into your product and service.

The following posts attempt to capture some of the fundamentals that I’ve personally found useful to structure thinking around social user acquisition, and extend those concepts from the web to mobile applications:

Remember, Product Leaders win games.  Now let’s get started.

LinkedIn for Android: The T-Shirt

Today was a banner day for the LinkedIn Mobile team, with the big launch of LinkedIn for Android v1.0.  The application was built from the ground up to be the best mobile experience for LinkedIn on Android, and includes our fastest people search implementation on any mobile device. (It’s already climbing the Top 25 free social apps on the Google Marketplace)

Last year, I wrote a very popular blog post about the importance of T-Shirts at tech companies.  So it makes sense that to celebrate the launch, we made a new t-shirt.  No doubt that this will become the must-have item for  2011.

The front of this charcoal grey t-shirt will sport the following graphic, courtesy of rock star mobile designer Frank Yoo:

The back will feature the logo: LinkedIn for Android.  I love it – something about the little blue LinkedIn droid with a tie is just adorable.

Kudos to the team on a great app, a great launch, and most importantly, a great t-shirt.

LinkedIn for Blackberry: Get It Now

I know this is my personal blog, but sometimes launches are big enough that I feel compelled to announce them here as well.

LinkedIn Blog: LinkedIn for Blackberry: Anytime, Anywhere

You can download it at http://www.linkedin.com/blackberry

Twitter is on fire with the news right – I’m watching the stream of comments in realtime.  Great pieces on TechCrunch & Mashable already.  As usual, the team seems to find it amusing to use my profile in all the screenshots, so I guess that is some measure of fame.

The best part of this launch is that it’s just the beginning of our efforts on the Blackberry platform.  I’m very proud of the entire team for pulling together to make this first launch successful.  Special kudos to Chad Whitney on his first major launch and blog post – he even got a new profile photo for the occassion.  Chad joined my team in December 2009, and has already made a phenomenal impact on our mobile products.

LinkedIn for iPhone 3.0 is LIVE!

Just a quick note to say that the new version of LinkedIn for iPhone is now live in the iTunes App Store.

Download LinkedIn for iPhone

I wrote a fairly lengthy piece on the official LinkedIn blog, so no need to replicate the full walk-through here.  In any case, check out this new home screen:

This application represents a huge achievement for the team.  It’s really a complete redesign and re-architecture of the entire stack supporting the application, based on an end-to-end design that was driven by user feedback and business metrics.

Building iPhone apps is a wonderful throwback in some ways to the days of client software, except with the advantage of over a decade and a half of web-based architectures.  There is a richness to client applications that the web still doesn’t replicate, and a complexity and depth to their design that is often under-appreciated.

Of course, the team had fun too.  The “Themes” feature, for example, was never part of the original plan.  It was originally a last minute easter egg that we included for fun in internal testing.  It proved so popular, however, we felt like we had to include it for everyone.

There are hundreds of things I love about this new application.  Even the way it presents a user’s profile is thoughtful, as LinkedIn is designed to allow you to put your best foot forward as a professional:

Of course, I wouldn’t be a product manager if I didn’t also have hundreds of things I’d like to see improved in the application.  It has been fun to watch the Twitter stream all day, as the feedback has been mostly positive.  Still, while this application represents a big leap forward for LinkedIn on the iPhone, it’s really just a beginning.  What’s most exciting about the architecture of this application is that it will let us rapidly innovate and improve the mobile experience through 2010 and beyond.

So here’s a quick shout out to the team – thank you for the hard work and effort in 2009 to produce an iPhone app we can be proud of.   I couldn’t be more excited for 2010, as we change the way people think of mobile business applications.

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