Proven counsel based on tailored analysis
and broad market understanding.

The full stack. The full picture.

Proven Counsel

Trusted by 80% of the top 10 Fortune 500 technology companies for guidance and strategy

Tailored Analysis

Our clients receive highly customized strategic insights and analysis that help guide market strategy

Broad Market Expertise

Integrating market expertise and industry experience to reveal the bigger picture

DELIGHT
SCALE

Product Experience Measurement Reimagined

With the Delight Scale, we crafted the 10 best questions to capture customer experience. The results are scored, weighted, and aggregated into a product’s Delight Score. This approach has proven to lead to a much more holistic measurement of customer experience, and actionable product insights to truly separate great products from average ones. Delight is the bedrock of every loyal and engaged customer.

Learn more

Why Use the Delight Scale?

Whether we look at the consumer market or the enterprise market, we are witnessing a transition from hardware, software, and service as an individual source of value to the total experience that arises from their combination. It is about the overarching experience a user receives that distinguishes a good product and a great product. Understanding how the different parts of the offering or even the different features of one component contribute to the overall experience provides valuable insights.

Learn more

Latest Articles From Our Team

May 20, 2026 / Carolina Milanesi

The Smart Glasses Race Will Be Won on Style as Much as AI

Google used Google I/O this week to announce intelligent eyewear partnerships with Warby Parker and Gentle Monster, powered by Gemini and built on Android XR with Samsung and Qualcomm. The announcement was notable not just for what the glasses can do, but for how deliberately Google thought about what they need to look like. That…

May 19, 2026 / Max Weinbach

Google I/O 2026: Gemini 3.5 Flash and Google’s Agent Platform Strategy

Google I/O 2026 turned a model launch into a platform statement. It was the clearest evidence yet that Google wants Gemini to become the operating layer for work across consumer products, developer tools, enterprise systems, and cloud-managed agents. Gemini 3.5 Flash is the center of that story. Google positioned Flash as the common engine behind…

May 12, 2026 / Max Weinbach

The Android Show 2026: Android’s Intelligence System Era

Google’s Android Show was more important than a pre-I/O feature preview. It was the clearest evidence yet that Google’s decision to give Android its own stage is the right one. Google started carving Android out this way last year, and this year’s show made the case for continuing that separation much stronger. The continued separation…

May 12, 2026 / Carolina Milanesi

Googlebook is a Post-OS Bet

Google announced Googlebook today, and the most useful sentence in the entire post is one Alex Kuscher slips in early: “moving from an operating system to an intelligence system.” That line tells you how to read everything that follows. What Google didn’t sell For months the industry conversation was about Aluminium, the Android-based unified desktop…

May 12, 2026 / Ben Bajarin

The E/AI Index: Budget Architecture and the Next Phase of Enterprise AI Adoption

How CIOs and CTOs are funding AI, where deployment is moving into production, and which vendor categories are exposed as AI shifts from experimentation to budget reallocation From AI Usage to AI Earnings Power Ben Bajarin · May 5 Read full story From Model Wars to Platform Wars Ben Bajarin · May 7 Read full…

May 5, 2026 / Carolina Milanesi

Microsoft’s New Work Data Has a Surprise: AI Is Expanding Human Agency, Not Shrinking It

The dominant fear going into the AI era was that machines would hollow out work, taking over not just repetitive tasks but the thinking behind them. Microsoft’s 2026 Work Trend Index, which draws on trillions of anonymized Microsoft 365 productivity signals and a survey of 20,000 workers across 10 countries, tells a more complicated story.…

The math of “automate 70% of inquiries, cut 70% of headcount” sounds clean. It does not work.

Adrian McDermott (@amcdermo), CTO of @Zendesk, explains why companies that have tried it have learned the hard way, and what a smarter use of AI in customer service actually looks like

The industrial business of the future runs on agents.

Some are digital (LLMs). Some are embodied (robots). Some are humans.

The whole thing needs orchestration.

@austinsemis chatted about this and more with Nvidia's VP of Robotics and Edge AI, Deepu Talla.

Chapters:
(00:00)

In the 1800s, economists expected more efficient steam engines to reduce coal consumption. The opposite happened.

Adrian McDermott (@amcdermo), CTO of @Zendesk, applies the same logic to AI-powered customer service: the more efficient you make it, the more people will use it.

Most businesses think their customer service volume reflects their customer demand. Adrian McDermott (@amcdermo), CTO of @Zendesk, says that is wrong.

The customers you are not hearing from are the ones who gave up, hung up, or walked away. That gap is the service debt, and AI

Customer service is one of the most underfunded parts of most businesses, even as leaders call it high stakes.

In our latest episode of Bit by Bit: Leadership Conversations, @caro_milanesi sat down with CTO Adrian McDermott (@amcdermo) at @Zendesk's Relate conference in

Load More

Trusted by 80% of the top 10 Fortune 500 technology companies