The State of AI in Customer Experience: Key Trends and Opportunities
Artificial intelligence is rapidly permeating all aspects of business, from streamlining daily tasks to influencing strategic decision-making. AI’s growing presence is even evident in the creation of this very report, leveraging generative models to synthesize and present findings. But how is this transformative technology reshaping customer interactions? How are organizations currently harnessing AI to drive […]
Market Research – The Complete Guide: How to Understand Your Market
A while ago, at Sarid Research, we conducted a “Why Statement” workshop to understand our core motivations as an organization. One of the key insights we gained was that we focus on identifying and creating data driven value, enabling our clients to fulfill their mission. This aligns perfectly with the role of market research: providing […]
Customer Survey: The Complete Guide to a Successful Process | Tips and Insights
We all have customers. Whether it’s in the “classic” sense—someone buying your company’s product or service—or an internal customer within your organization. In fact, even family members can be considered customers (yes, sometimes I feel like a taxi driver when I shuttle my kids to activities). In this post, we’ll focus on customers in the […]
Top 5 Research Trends for 2025: People, Markets, and Customers
As we begin 2025, businesses are navigating a dynamic landscape shaped by evolving customer expectations, technological advancements, and a data-driven ethos. For HR, Marketing and Customer Experience leaders, staying ahead requires embracing trends that redefine how they empower people, analyze markets, and understand customers. Sarid Research Institute has identified the top five research trends shaping […]
How Often Should You Survey Customers? Striking the Right Balance
When it comes to customer satisfaction and service quality, companies face a dilemma: on one hand, they need timely and accurate data to improve their offerings. On the other, over-surveying risks annoying customers and leading to lower engagement. So, how do you find the right frequency to sample customers for surveys while maintaining both data […]
AI is Changing How We Explain and Make Sense of Data Visualizations
As data scientists, clarity in our messaging and communication is essential. Typically, we achieve this by creating engaging visualizations paired with well-crafted explanations. Visuals must be straightforward for audiences who may not be data-oriented, and the accompanying text should emphasize the key messages. While various tools can assist in this process, LLMs (Large Language Models) […]
New Product Go/No-Go Made Easy: Market Research Insights
So, you’re launching new products and are unsure how, what, where, or when to conduct product market research. Luckily, we just hosted a great webinar on the matter. Four leading industry experts shared challenges and success stories (failures as well!), preferred methodologies, and answered attendees’ questions. Here are some of the key moments from […]
The Different Shades of Accuracy
One of my customers requested that we develop a prediction model and set a goal of being “90% accurate” in our work. This brought forward a discussion of accuracy in machine learning models. While seemingly a straightforward goal, it’s not that simple. We must first define what we mean by “accuracy in machine learning models”. […]
Determining Sample Size and Ensuring Representativeness in Research
In the field of data research, where the main goal is to provide insights based on data, two key concepts serve as guidelines to ensure that our results are trustworthy: sample size and representativeness. What makes these two concepts so important? Picture this: a pharmaceutical company testing a groundbreaking new drug, its decisions hinging on the outcomes of […]
Is it worth it? The cost of better AI
As data scientists, we always strive to be accurate in our machine-learning/AI models, i.e., provide better predictions or improved responses to prompts (user queries). As business-oriented individuals, we always remember that more accurate models require more resources (e.g., money, research, personnel, additional data, compute power). There is a balance between accuracy 🎯 and cost 💵. […]