product discovery
Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy
Ayach, Fernando, Lameirão, Vitor, Leão, Raul, Felizardo, Jerfferson, Sobrinho, Rafael, Borges, Vanessa, Matsubara, Patrícia, Fontão, Awdren
Proto-personas are commonly used during early-stage Product Discovery, such as Lean Inception, to guide product definition and stakeholder alignment. However, the manual creation of proto-personas is often time-consuming, cognitively demanding, and prone to bias. In this paper, we propose and empirically investigate a prompt engineering-based approach to generate proto-personas with the support of Generative AI (GenAI). Our goal is to evaluate the approach in terms of efficiency, effectiveness, user acceptance, and the empathy elicited by the generated personas. We conducted a case study with 19 participants embedded in a real Lean Inception, employing a qualitative and quantitative methods design. The results reveal the approach's efficiency by reducing time and effort and improving the quality and reusability of personas in later discovery phases, such as Minimum Viable Product (MVP) scoping and feature refinement. While acceptance was generally high, especially regarding perceived usefulness and ease of use, participants noted limitations related to generalization and domain specificity. Furthermore, although cognitive empathy was strongly supported, affective and behavioral empathy varied significantly across participants. These results contribute novel empirical evidence on how GenAI can be effectively integrated into software Product Discovery practices, while also identifying key challenges to be addressed in future iterations of such hybrid design processes.
Pixyle AI wants to make visual search more intuitive for online retailers • TechCrunch
When Svetlana Kordumova was studying for her doctorate in AI and computer vision, she grew frustrated by the process of looking for items to buy online. Search results were often inaccurate, and she knew the tech she was learning could improve the experience. Pixyle AI was launched in 2019 to improve product discovery on e-commerce sites and today announced a €1 million seed round (about $1.05 million USD) from South Central Ventures. The startup, which has offices in Amsterdam and North Macedonia, now works with over 20 clients, including Depop, Otrium and Minto. Over the past three years, it has tagged more than 250 million images and says its increased conversions for its retail customers by 10% on average.
Top Innovative Artificial Intelligence (AI) Powered Startups Based in Israel (2022)
Revolution in Artificial Intelligence is causing a paradigm change in almost every field of the tech industry. Various startups around the world are transforming and making lives easier using the aid of AI. In this article, let's look at some of the most innovative AI startups founded in Israel. Voiceitt has created a speech recognition app to make it easier for those with speech disorders, disabilities, or impairments to be heard and understood. Its proprietary automatic speech recognition (ASR) technology converts irregular patterns into understandable speech in real time.
The 9 Trends Defining eCommerce AI in 2022 & 2023
Today, artificial intelligence (AI) has become an irreplaceable part of how we shop and do business on the web. It's a key component of the underlying infrastructure that brands and retailers rely on to engage customers, track trends, make better business decisions, and provide the most optimal, personalized customer experiences possible. Here are the top nine trends in eCommerce AI that you can expect to see in 2022 and 2023. AI voice assistants like Amazon's Alexa, Apple's Siri, and Google Assistant have become household names used by millions of people worldwide. In fact, 27% of shoppers took advantage of voice assistants to make online purchases in 2020, accounting for $40 billion of revenue in the U.S. and the UK alone.
Converting text to images for product discovery
Generative adversarial networks (GANs), which were first introduced in 2014, have proven remarkably successful at generating synthetic images. A GAN consists of two networks, one that tries to produce convincing fakes, and one that tries to distinguish fakes from real examples. The two networks are trained together, and the competition between them can converge quickly on a useful generative model. In a paper that was accepted to IEEE's Winter Conference on Applications of Computer Vision, we describe a new use of GANs to generate examples of clothing that match textual product descriptions. The idea is that a shopper could use a visual guide to refine a text query until it reliably retrieved the product for which she or he was looking.
What is image analysis?
You're going to need a free video content marketing strategy template. It can be as simple as scanning a barcode, or as complex as PiP. Yep… one of the most advanced pet identification systems out there... PiP is a smartphone app created for pet owners who've lost their cat, dog, fish. Should you misplace your pet, its photo will be analyzed and matched with photos of pets that have been found wandering the streets. Image analysis is used to beat lost tags, outdated microchips, and fading tattoos.
What is image analysis?
It can be as simple as scanning a barcode, or as complex as PiP. Yep… one of the most advanced pet identification systems out there... PiP is a smartphone app created for pet owners who've lost their cat, dog, fish. Should you misplace your pet, its photo will be analyzed and matched with photos of pets that have been found wandering the streets. Image analysis is used to beat lost tags, outdated microchips, and fading tattoos. Teaching a computer to see, is no walk in the park.
AI In E-Commerce: 25 Startups Bringing Artificial Intelligence To Product Discovery
As competition heats up in e-commerce and retail, startups are leveraging AI to personalize the product discovery process for buyers and retailers alike. The e-commerce and retail landscapes are becoming increasingly competitive -- especially as Amazon has asserted its dominance, claiming almost 40% of e-commerce sales in the US over the 2017 holiday season. Faced with increasing pressure from dominant players, many smaller retail and e-commerce companies are seeking strategies to differentiate themselves and attract consumers. In response, startups have emerged to help retailers and e-commerce players streamline operations and personalize customer service, often through the use of AI-powered technology. We look at the technological advancements that are reshaping various aspects of e-commerce ranging from supply chain to customer experience and last mile delivery.
4 Ways to Make Chatbots a Brand Advantage
Wondering when your order from GameStop will be delivered? Simply open Facebook Messenger and ask. Looking for tips on how to pair that new jacket you're eagerly awaiting with jewellery? This is the new retail reality thanks to the emergence of chatbots. Consumers appreciate the level of personalization and convenience that chatbots deliver effortlessly -- and through the channels where they already spend time.