1/6/2024 0 Comments Aha moment definitionIn addition, they found that scoring highly on emotional elements resulted in higher levels of customer loyalty and advocacy than those that scored well mainly on functional elements. In general, the more elements a brand’s product scored high on, the stronger their customer loyalty, as well as revenue and market share growth. They shows the hierarchy of the different elements that customers seek: As your business satisfies more of these elements for customers it helps fuel longer, loyal relationships with your brand. Understanding that, in turn, can help you favorably position your product offering against your competitors, as well as strengthen and focus your branding and marketing language.īuilding on that, we can use another framework called The Elements of Value to help us understand what customers seek out when searching for solutions to their needs. Learning how your customers experience these elements when using your product can help you prioritize which features are most important to them (or which features may be missing). saves time) to abstract/aspirational (e.g., provides hope). That value can take a wide variety of forms, from basic/functional (e.g. When a product satisfies a Job to Be Done for a customer, it’s providing some kind of value to them. Identifying the Value Your Product Really Provides ![]() As business / product owners, how can understanding that process help you articulate the experience to others?.What are we, as customers, actually experiencing during that “aha” moment?.Thinking more about my experience led me to two questions: What made the experience stand out was not simply that it satisfied the job of showing me which version of the article was more appealing, but that it achieved the “aha” moment to make me want to keep using the product. I wanted to know which one was more enticing for readers to click. I used it to compare two different titles and images I created for an article I wrote. A poll could be used for lots of things, from an author deciding on a book cover, to a marketer evaluating a piece of copywriting, to a product designer testing different user interfaces. In my case, the “aha” I experienced was with a product called PickFu, which allows you to use instant polls to get unbiased feedback on a piece of content, a message, or an idea. In business, we affectionately refer to the completion of that journey as the “aha” moment. To learn more, see the privacy policy.I recently used a digital product that took me on the very important journey from “ I-guess-I’ll-try-it” to “ I-gotta-keep-using-this”. Special thanks to the contributors of the open-source code that was used in this project: Elastic Search, WordNet, and note that Reverse Dictionary uses third party scripts (such as Google Analytics and advertisements) which use cookies. The definitions are sourced from the famous and open-source WordNet database, so a huge thanks to the many contributors for creating such an awesome free resource. In case you didn't notice, you can click on words in the search results and you'll be presented with the definition of that word (if available). For those interested, I also developed Describing Words which helps you find adjectives and interesting descriptors for things (e.g. So this project, Reverse Dictionary, is meant to go hand-in-hand with Related Words to act as a word-finding and brainstorming toolset. ![]() ![]() That project is closer to a thesaurus in the sense that it returns synonyms for a word (or short phrase) query, but it also returns many broadly related words that aren't included in thesauri. I made this tool after working on Related Words which is a very similar tool, except it uses a bunch of algorithms and multiple databases to find similar words to a search query. So in a sense, this tool is a "search engine for words", or a sentence to word converter. It acts a lot like a thesaurus except that it allows you to search with a definition, rather than a single word. The engine has indexed several million definitions so far, and at this stage it's starting to give consistently good results (though it may return weird results sometimes). For example, if you type something like "longing for a time in the past", then the engine will return "nostalgia". It simply looks through tonnes of dictionary definitions and grabs the ones that most closely match your search query. The way Reverse Dictionary works is pretty simple.
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