Skip to main content

Re-Imagine IPTV: via Lead-User Innovation

NYTimes reports about design innovations that actively include the consumer within the product or service creation process. It's been done already in other industries, and I believe that it's time to utilize this approach to re-imagine the television consumer experience.

Here's a quote from the column that made me think, "why not view IPTV trials through this lens?" Telcos need meaningful points of differention, other than a lower price, and there's no time like the present to engage your trial thought-leader customers. The NYTimes column is entitled "To Charge Up Customers, Put Customers in Charge."
Eric von Hippel, head of the innovation and entrepreneurship group at the Sloan School of Management at the Massachusetts Institute of Technology, calls this bottom-up phenomenon "lead-user innovation," and has studied its effects in industries from extreme-sports gear to medical equipment.

In a time of ever more talented technology enthusiasts, hobbyists and do-it-yourselfers, all connected by Internet-enabled communication, he says, the most intensely engaged users of a product often find new ways to enhance it long before its manufacturer does. Thus, he argues, companies that aspire to stand out in fast-moving markets would be wise to invite their smartest users into the product design process.

"It's getting cheaper and cheaper for users to innovate on their own," Professor von Hippel said. "This is not traditional market research � asking customers what they want. This is identifying what your most advanced users are already doing and understanding what their innovations mean for the future of your business."

Popular posts from this blog

Why AI Budgets Miss a $9.2 Billion Storage Problem

The worldwide external enterprise storage systems market reached a key point in the first quarter of 2026, and the implications for organizations running Applied-AI initiatives are impossible to ignore. IDC's latest market study reveals that systems grew 22.7 percent year-over-year to $9.2 billion, a dramatic acceleration from the 3.9 percent full-year 2025 growth rate. For enterprise leaders who have spent the past two years prioritizing GPU clusters and server infrastructure while treating storage as a secondary consideration, this data should serve as actionable guidance. The storage bottleneck in AI deployment is no longer theoretical, and the market dynamics now unfolding will directly shape the cost, timeline, and architectural viability of AI programs through at least 2027. Storage Systems Market Development The first quarter of 2026 produced several milestones that demand the attention of any organization with active or planned AI infrastructure investments. All Flash Array...