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Such a beautiful story. And a customer experience story that I wish could be replicated by more places.
Do you think anything in his training had driven him to do this? Or was he a diamond in the rough. An anomaly. A fluke. A CS genetic mutation.
Finding a barrista who remembers name's is a find. Finding one who create's his own customer engagement and loyalty program is whole new level!
Starbucks should have been throwing money at this guy to tour nationally and run seminars on customer engagement. They're crazy to lose him!
1 year, 4 months ago on A Fantastic Starbucks Customer Experience Story
@stevenmcoyle @joecardillo Hi Steve, I've had the heel draggers before with recommendations, but in those instances just poke them a few times and move on.
If they're slow to hand out good value recommendations, they're less likely to receive reciprocal recommendations (i.e. they wont receive your recommendation to them as a good manager) which in turn would have a knock on effect to them getting their next position as a manager in a new company.
It's their loss.
Getting the first few doesn't require a huge project. I have a recommendation because I donated half a day of consulting to a small business owner for free when the new UK cookie laws came out. It was a small gesture and the small business owner decided to write me a thoughtful recommendation afterwards. Think of it as a character reference.
Think about what gestures you could do for some of your connections. And then maybe later, ask for a recommendation. Don't do this "transactionally", but they *will* be faster to respond and write you one up if you're helpful.
1 year, 4 months ago on The Nips and Tucks Happening at LinkedIn
@AmyMccTobin Hi Amy, do you think LinkedIn is trying to catchup with Klout's "trendyness" or do you think they're attempted to bring genuine 'klout-style' value to the network (even though the execution may not have worked)?
@KyleAkerman Hi Kyle, thats a really interesting idea. And I agree it *would* be a good way to easily contextualise the database. Weighting the searches heavier towards endorsements as they were "crowdsourced". Similiar to Google using +1's to weight search results.
Because after one endorsement, LinkedIn then automatically suggests 4 people, and fills in 4 keywords, people just click "Yes to all". They aren't actually having any input. They're just "agreeing" with LinkedIn whether they agree or not. The contextualising is engineered. Fabricated.
I think your idea would work and is a good one, and perhaps was the strategy. However, somewhere along the lines, perhaps the UX/UI team, executed this strategy wrong.
@stevenmcoyle Hi Steven, completely agree with you that recommendations are hard to get, but doesn't that make you value each one so much more? And when you view them on other people's profiles, you *know* how much hard work went into getting them. You'll take that person more serious. You know the guy with 100 recommendations has Clout. real Clout. Not Klout.
@stephsammons No problem Steph, it was a great article to use as a reference!
@joecardillo interesting you should mention the noise issue Joe, I'm already seeing rants on twitter about the level of email spam they're generating too. Recommendations might seem 'old fashioned' but I think the business community who use LinkedIn are a smart bunch. They know that old fashioned isn't a bad thing. they know they;re thoughtful and take an investment of time to deliver.
@dariasteigman Thanks for the comment Daria. Totally agree that there's now a huge amount of peer pressure to get involved, even if you don't believe in the value. You have to endorse because everyone else is doing it. The fact that it only takes 30 seconds to give 20+ Endorsements is insane...