Since day one we specialised in making complex text analysis simple and accessible by everyone. We strongly believe that learnings from consumer data should be on everyone’s desk, and not filtered by technical people. As a consequence, we developed technologies and processes that make the life of corporates much easier than before. In the last years, we already transformed 20 of the Fortune1000 become consumer-centric and adopt a modern market research methodology.
We reach out to you in order to organise a “requirements” meeting. Our goal is to have a clear picture of your needs in terms of products/services, markets, languages, data sources and other key variables of the analysis. We will guide you throughout this process, and you won’t need to spend extra time on it.
Once we agree on the scope, we proceed with the linguistic configuration of the dictionaries. We always ask you for feedback, as we aim to translate consumer language into the corporate language that is shared throughout your organisation.
After completing the configuration we are ready to release the first analysis. Usually, it takes less than 30 days from the first contact to first delivery. In the initial phase of our collaboration, our team of 50+ analysts reviews the results of the automatic analysis and improves it, if necessary.
Results are published in our online dashboard, the Wonderboard, which is designed for business users and not only for technical people and researchers.
In short, we take care of the entire analysis process to save you time and money while delivering high quality for your business:
- Collect requirements
- Build the first version of dictionaries
- Extract, collect and clean data
- Perform analysis
- Publish actionable results in 30 days
First of all, you would need to collect requirements from all the stakeholders and make sure everyone is aligned with the project. You would need a team of data scientists and knowledge engineers to work on a licensed text analysis engine to configure the rules. It might take months to reach sufficient quality, and it would be complicated to find alignment between your technical and business colleagues.
Once you are satisfied with the quality you would need developers to build dozens of scrapers for public sources as well as integrations with your database. Filters like anti-duplication or data-cleansing would require extra effort.
The last step would be to design a reporting system that would be easy to use and entertaining for your colleagues. Most of the text analysis platforms are complicated and this becomes a barrier for user adoption, and for the overall success of the project.
On average this entire process takes between 9 and 12 months of work for a team of 10 people. In many cases, the results are never satisfying, and it’s hard to generate a consumer feedback loop that works.
On average our customers save 90% of the time for product/service research. Setup, configuration and launch of the consumer feedback program is 80% faster and cheaper than homemade solutions. No technical skills are required.
Our brands can easily expand from local to global, as they can count on 150+ data sources in more than 12 languages. The analysis in the Wonderboard is so simple and actionable that business users put it in the center of their work, both day-to-day and strategic. Usually, we have approximately 1000% more users than any other platform in our industry.
We focus on the process and the methodology rather than just on the tool. We strive to instill a customer-centric mindset in your team, and this usually leads to immense benefits at different levels.
The Wonderboard is a modern market research tool that comes with a set of business features that are designed to outperform traditional research techniques both in actionability and scale. As an example, we can mention our “Automatic Insights” feature. How does it work? We ask you to list the questions for which you would like to find the answer in the analysis. We code your questions in our system. The Wonderboard generates the answers using natural language as if they were written by an analyst. The good thing is that these answers, being the result of mathematical calculations, are completely unbiased. Another good thing is that answers update real-time as you change the parameters of the analysis (e.g country, channels, products etc).
we have seen our customers dramatically reduce the budget for market research agencies as soon as they started to use the Wonderboard. Our artificial intelligence for modern market research has proven to outperform traditional research in actionability, flexibility and scale. Companies that fully adopt our product and process stop purchasing research from external agencies, as it becomes unnecessary and obsolete.
Wonderflow empowers businesses with quick and impactful decision-making because it helps automate and deliver in-depth consumer and competitor insights. All within one place, results are simplified for professionals across any high-UGC organization, and department to access, understand, and share easily. Compared to hiring more analysts, Wonderflow’s AI eliminates the need for human-led setup and analysis, resulting in thousands of structured and unstructured reviews analyzed within a matter of weeks and with up to 50% or more accurate data. The system sources relevant private and public consumer feedback from over 200 channels, including emails, forums, call center logs, chat rooms, social media, and e-commerce. What’s most unique is that its AI is the first ever to help recommend personalized business actions and predict the impact of those actions on key outcomes. Wonderflow is leveraged by high-grade customers like Philips, DHL, Beko, Lavazza, Colgate-Palmolive, GSK, Delonghi, and more.
Other articles you might like:
Customer experience · Apr 22, 2022
Is the Customer Experience Career for You? The Rise of CX Jobs (Incl. Salary Chart and FAQs)
“Think of customer experience as customer service on steroids” – Forbes That’s exactly what it’s like to work in Customer Experience (CX). When compared to customer service (CS), customer experience is more about proactively creating a seamless customer journey, from awareness of the brand to post-purchase. In contrast, CS is about reactively supporting customers with service/product questions and problems. This article aims to shed light on the trending and unique career path of CX and how…
Interview · Apr 15, 2022
Consumer-Centricity in Home Appliance: A VoC Interview with Massimo Paludet, Customer Care Director at De’Longhi
Our series of Voice of the Customer (VoC) interviews proudly showcases the perspectives of different industry experts on the customer experience (CX) world. It has always been an immense pleasure to support the customers with our VoC insights and gain their user feedback and leadership insights to empower our readers. Wonderflow’s Sales Account Executive, Adam Hosker, is joined today by De’Longhi Group. Specifically, we interviewed Massimo Paludet, Director of Customer Care. De’Longhi is one of…
Interview · Apr 07, 2022
Wonderstudent: Krisiana Dumi, Grant Recipient & Epicode Grad
It’s not enough, we believe, to deliver only the best experience possible to the end-users. Those with strong technical skills and talent are also deserving of the best experiences possible to succeed, particularly in academics. As such, Wonderflow’s charity, the Wonderflow Foundation has partnered with Epicode, an Italy-based coding school that’s helping to prepare those interested in an IT career. Together, we’ve been on a mission to scout students who are especially from disadvantaged families…