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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.

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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.

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Latest Articles From Our Team

March 11, 2025 / Austin Lyons

Dispelling DeepSeek Myths, Studying V3

Remember Jan 27th when Nvidia lost half a trillion dollars in market cap? An inconspicuous table buried in a paper played a key role: What did this paper actually say? Welcome to the third and final post in a series looking at DeepSeek. Let’s think things through from first principles. We can talk about misplaced investor panic…

March 11, 2025 / Ben Bajarin

Apple M4 MacBook Air – Apple’s Continued Aggressive SoC Power Management

Keeping up my theme of constantly analyzing the battery life of each new Apple M series silicon, I was excited to dive into the new M4 Macbook Air.  Every year, gen on gen, Apple continues what their silicon design teams like to call the relentless pursuit of performance per watt.  While the M4 is not…

March 11, 2025 / Max Weinbach

A weekend with Apple’s Mac Studio with M3 Ultra: The only real AI workstation today

Executive Summary: The Apple Mac Studio featuring the M3 Ultra represents the most powerful AI workstation currently available, tailored specifically toward AI developers’ demanding workflows. With its unprecedented unified memory (up to 512GB) and robust GPU performance, the M3 Ultra Mac Studio excels at running large language models (LLMs) efficiently, surpassing even high-end PCs in…

March 5, 2025 / Austin Lyons

Nvidia 4Q25 Earnings

Nvidia’s 2025 earnings call was more revealing than it seemed. Is cost-per-token now the key battleground for AI infrastructure? Why is Nvidia pushing Ethernet, and what does that mean for Infiniband? What happens to aging GPUs? We’ll also explore Nvidia’s positioning against AI ASICs, revenue concentration risks, and whether AMD’s modularity can still be a…

February 27, 2025 / Carolina Milanesi

Alexa+: Amazon’s Home Assistant Grown Up to Be a Full-Fledged AI Agent

The recent unveiling of Amazon’s enhanced Alexa with generative AI capabilities marks a significant milestone in the evolution of home-based AI assistants. As tech companies increasingly focus on generative AI capabilities, Amazon has carefully reimagined its digital assistant while preserving what made Alexa special in the first place: a personal and context aware helpful companion…

February 24, 2025 / Austin Lyons

DeepSeek MoE & V2

We previously looked at DeepSeek’s reasoning model R1 and distilled variants. I started with the reasoning model because it could upend OpenAI’s business model, which seems to be playing out: Source Why keep reasoning proprietary after DeepSeek’s open weights R1? Yet a lot of investors freaked out because of the V3 paper. So I set…

China’s Smartphone Golden Refresh: Don’t Call it a Super Cycle

@benbajarin and @maxwinebach share a deep dive on the Chinese smartphone market, how its more mature with AI smartphones, and what's on the horizon.

https://creativestrategies.com/research/chinas-smartphone-golden-refresh-dont-call-it-a-super-cycle/

This video unpacks my recent @chipstrat article exploring the impact of reasoning models. We look at @OpenAI's three scaling laws—pre-training, reinforcement learning, and inference scaling—and observe how reasoning models introduce new vectors for compute demand. We then explore…

Understanding Hyperscaler Custom ASIC Strategy - by @benbajarin

https://creativestrategies.com/research/understanding-hyperscaler-custom-asic-strategy/

Reasoning Models and DeepSeek, Semis Implications

Latest @Chipstrat analysis from @theaustinlyons

https://creativestrategies.com/reasoning-models-and-deepseek-semis-implications/

AMD Q424 Earnings – What’s Going on With AMD?

@benbajarin analyzes the changing dynamics around the @AMD narraritive, and has changed and why.

https://creativestrategies.com/research/amd-q424-earnings-whats-going-on-with-amd/

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