Personas are personable, actionable, and detailed descriptions of 3-5 archetypes of the people who use your product, service, or brand and are also critical to the long-term success of your business. The objective of personas in product design is to establish a common reference point by which to anchor both tactical and strategic product decisions in user-centric design. Robust personas paint vivid pictures of who each archetype is, what their lifestyle is like, what they care most about, and what their attitude is like in product-relevant scenarios.[Read More]
mCommerce is shifting in a direction to cater towards those that are digital native (Millennials), not digital immigrant (the rest of us). Personalization and customization is a requirement for Millennials, yet many Fortune 1000 companies are challenged with barriers on infrastructure and data governance that don't allow for CX/UX professionals to provide an engaging experience for Millennials. This generation is demanding an omni-channel experience at a higher velocity, and as a result, many companies are being challenged with shifting priorities.
One of the big themes of nearly every SXSW event we attended was personalization. Even events about the Future of TV had panelists talking about supplemental apps or making sure people could watch on the devices they chose. A news discussion with Dan Rather and Dan Pfeiffer also discussed how people consume news on the platforms of their choice, like Facebook and Twitter. Customers are looking for a more personal, customized experience in the place of their choice.
Predictive technology is making big strides in making these more curated experiences accurate. Facebook’s facial recognition technology is making use of their extensive data on user tagging so they can auto-tag your photographs when you post them. This technology may be more accurate than that of law enforcement. Netflix’s House of Cards was famously made by using data to understand that a political drama starring Kevin Spacey directed by David Fincher would be popular. An important consideration with using predictive data for customer recommendations is providing said data to customers.
Last week a gift arrived at our doorstep. Wooden martini glasses. Impressed, excited (to drink a martini from a beautiful wooden glass!), and a tad confused we opened the envelope. It read: “Happy 5th Anniversary, Key Lime Interactive. May we someday have an opportunity to send you a gift of gold.”[Read More]