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Analyser les données boursières avec LangChain et Whisper d'OpenAI

Découvrez comment LangChain et Whisper d’OpenAI peuvent vous aider à analyser les données boursières de manière plus efficace et plus précise.

Avertissement

Nous allons dans cet article montrer comment connecter un courtier Kafka, qui diffuse des données fictives de cours boursiers, à SingleStoreDB. Nous allons ensuite interroger ces données à l’aide de phrases en anglais grâce à LangChain, qui offre une capacité de question-réponse de base pour les données de cours. Nous allons construire une application Python, à travers plusieurs itérations de conception, pour utiliser Whisper d’OpenAI afin de poser des questions par la parole et utiliser la synthèse vocale pour répondre.

Connexion à la base de données

La première étape consiste à connecter le courtier Kafka à SingleStoreDB. Pour ce faire, nous devons configurer un canal Kafka pour le courtier Kafka et un canal SingleStoreDB pour SingleStoreDB. Une fois que ces canaux sont configurés, nous pouvons connecter le courtier Kafka à SingleStoreDB en utilisant le canal Kafka et le canal SingleStoreDB. Une fois que cette connexion est établie, nous pouvons commencer à envoyer des données du courtier Kafka à SingleStoreDB.

La première étape consiste à connecter le courtier Kafka à la base de données SingleStoreDB. Pour ce faire, nous devons configurer un canal Kafka pour le courtier Kafka et un canal SingleStoreDB pour SingleStoreDB. Une fois que ces canaux sont configurés, nous pouvons connecter le courtier Kafka à la base de données SingleStoreDB en utilisant le canal Kafka et le canal SingleStoreDB. Une fois que cette connexion est établie, nous pouvons commencer à envoyer des données du courtier Kafka à la base de données SingleStoreDB.

Interrogation des données

Une fois que les données sont stockées dans la base de données SingleStoreDB, nous pouvons les interroger à l’aide de LangChain. LangChain est une plateforme open source qui permet aux développeurs de créer des applications qui peuvent comprendre et répondre aux questions posées en anglais. Nous pouvons utiliser LangChain pour interroger la base de données SingleStoreDB et obtenir des informations sur les cours boursiers. Nous pouvons également utiliser LangChain pour exécuter des requêtes complexes sur la base de données SingleStoreDB.

Une fois que les données sont stockées dans la base de données SingleStoreDB, nous pouvons les interroger à l’aide de LangChain. LangChain est une plateforme open source qui permet aux développeurs de créer des applications qui peuvent comprendre et répondre aux questions posées en anglais. Nous pouvons utiliser LangChain pour interroger la base de données SingleStoreDB et obtenir des informations sur les cours boursiers. Nous pouvons également utiliser LangChain pour exécuter des requêtes complexes sur la base de données SingleStoreDB afin d’extraire des informations pertinentes à partir des données stockées dans la base de données.

Application Python

Enfin, nous allons créer une application Python qui utilise OpenAI’s Whisper pour poser des questions par la parole et utilise la synthèse vocale pour répondre aux questions. L’application Python va se connecter à LangChain et interroger la base de donné

Source de l’article sur DZONE

Ne commettez pas ces erreurs dans le développement IA.

Ne prenez pas le développement IA à la légère ! Évitez ces erreurs courantes pour réussir votre projet.

La preuve est dans la préparation

The key to success is data. AI models need data to learn and improve. The more data you have, the better your model will be. It’s important to have a clear understanding of the data you’re working with. You need to know what data is available, what data is missing, and what data is relevant. You also need to make sure that your data is clean and consistent. Once you have the right data, you can start building your model.

La preuve est dans la préparation

Entraîner un modèle d’IA peut sembler facile : donnez à un réseau neuronal des données et vous avez votre IA. Ce n’est pas du tout le cas et il y a de nombreux facteurs à prendre en compte pour développer le bon modèle pour le bon travail.

Développer et mettre en œuvre des systèmes d’IA de qualité est un processus complexe qui comporte des pièges potentiels. Ces lacunes peuvent entraîner des résultats suboptimaux, une utilisation inefficace des ressources et même des défis importants.

La clé du succès est les données. Les modèles d’IA ont besoin de données pour apprendre et s’améliorer. Plus vous avez de données, meilleur sera votre modèle. Il est important de bien comprendre les données avec lesquelles vous travaillez. Vous devez savoir quelles données sont disponibles, quelles données manquent et quelles données sont pertinentes. Vous devez également vous assurer que vos données sont propres et cohérentes. Une fois que vous avez les bonnes données, vous pouvez commencer à construire votre modèle.

Une fois que vous avez les bonnes données, vous pouvez commencer à construire votre modèle. Vous devez déterminer quel type de modèle convient le mieux à votre problème et le configurer correctement. Une fois le modèle configuré, vous pouvez entraîner le modèle sur les données et le tester pour voir comment il se comporte. Vous pouvez ensuite affiner le modèle en ajustant les paramètres et en lui fournissant plus de données.

Une fois le modèle entraîné, vous pouvez le déployer et le surveiller en continu pour voir comment il se comporte dans la pratique. Le déploiement et la surveillance sont essentiels pour garantir que votre modèle fonctionne correctement et produit des résultats précis et fiables.

En résumé, le développement et la mise en œuvre réussis d’un système d’IA reposent sur une préparation minutieuse et une surveillance constante. Les données sont la clé du succès et il est important de comprendre ce qui est disponible, ce qui manque et ce qui est pertinent. Une fois que vous avez les bonnes données, vous pouvez commencer à construire votre modèle et le déployer avec succès.

Source de l’article sur DZONE

Qu'est-ce qui succèdera à l'Agilité ?

Les pratiques Agiles ont permis aux entreprises de s’adapter rapidement aux changements. Mais qu’est-ce qui succédera à l’Agilité ? Découvrons ensemble les nouvelles méthodes qui pourraient révolutionner le monde des affaires.

« Qu’est-ce qui Vient Après l’Agilité? »

Je pense que la plupart des équipes de développement se décrivent comme étant «agiles» et la plupart des équipes de développement ont des standups et des réunions appelées rétrospectives. Il y a également beaucoup de discussion sur «l’agilité», beaucoup écrit sur «l’agilité» et il y a de nombreuses présentations sur «l’agilité». Une question qui est souvent posée est: qu’est-ce qui vient après «l’agilité»? Beaucoup de testeurs travaillent dans des équipes «agiles», donc cette question nous concerne.

Avant de pouvoir considérer ce qui suit l’agilité, nous devons considérer ce qu’est l’agilité – une méthodologie de développement itérative et incrémentale. Les équipes agiles développent des logiciels par itérations et chaque itération fait un pas vers l’objectif de l’équipe. Une équipe agile peut décider, après une ou deux itérations, que l’objectif qu’elle poursuit doit être modifié et commencer à travailler sur un nouvel objectif. Travailler itérativement rend l’équipe agile car elle peut changer de direction rapidement et facilement. Il existe plusieurs méthodologies agiles et l’une des méthodologies les plus utilisées est le scrum.

Une base de données est un outil essentiel pour les équipes agiles car elle leur permet de stocker et d’accéder facilement aux informations dont elles ont besoin pour prendre des décisions rapides et efficaces. Les bases de données peuvent être utilisées pour stocker des informations sur les projets, les tâches, les membres de l’équipe et les progrès réalisés. Les bases de données peuvent également être utilisées pour suivre les performances des membres de l’équipe et leur rendement. Les bases de données peuvent également être utilisées pour stocker des informations sur les tests et leurs résultats afin que l’équipe puisse prendre des décisions basées sur des données objectives.

Les bases de données sont un outil puissant pour les équipes agiles car elles leur permettent d’accéder rapidement aux informations dont elles ont besoin pour prendre des décisions rapides et efficaces. Les bases de données peuvent être utilisées pour suivre le progrès des projets, les performances des membres de l’équipe et leurs résultats, ainsi que les résultats des tests. Les bases de données peuvent également être utilisées pour stocker des informations sur les tests et leurs résultats afin que l’équipe puisse prendre des décisions basées sur des données objectives.

Ainsi, les bases de données sont un outil essentiel pour les équipes agiles car elles leur permettent d’accéder rapidement aux informations dont elles ont besoin pour prendre des décisions rapides et efficaces. Les bases de données peuvent être utilisées pour suivre le progrès des projets, les performances des membres de l’équipe et leurs résultats, ainsi que les résultats des tests. Les bases de données peuvent également être utilisées pour stocker des informations sur les tests et leurs résultats afin que l’équipe puisse prend

Source de l’article sur DZONE

Over the past few years, there have been countless new technology developments that have advanced the workforce —  from video and chat platforms that keep employees connected to automation solutions that boost productivity. One of the more popular developments has been intelligent document processing (IDP), used to extract data from structured and unstructured content to automate high-volume, repetitive document processing tasks. In fact, IDP has become so popular that, in 2022, the IDP market size was estimated to be at about 1.1 billion USD, but according to Research and Markets, it’s expected to grow to 5.2 billion USD by 2027. 

Despite the popularity of IDP, there are some iterations of the tool that lack the processing power needed to automate complex end-to-end business processes. Fortunately, robotic process automation (RPA) can step in to bolster your tech stack and solutions. 

Source de l’article sur DZONE

Many firms’ design and development decisions are increasingly oriented toward human-centered innovation. Instead of rushing goods to market, these firms are using a user-centered design approach.

Design and development teams build high-performing digital products or websites that uniquely meet customers’ demands by concentrating on the user experience. After all, a good web design is helpful in boosting the business reputation or user experience.

This post will define user-centered design, discuss its fundamental principles, and describe the user-centered design process.

What Is User-Centered Design?

To create an enjoyable solution to a problem, user-centered design is a collection of iterative design processes concentrating on the user’s needs at each step. In UCD, the expectations, objectives, and preferences of the user significantly impact design decisions.

Additionally, users are actively involved in the entire process from start to finish. User-centered design principles encourage designers to create products with users rather than just for them. This strategy typically includes user research, interviews, usability testing, and a massive amount of feedback gathering.

UCD Requires Four Fundamental Components:

  • Visibility: Can people see what your website is about and how to utilize it the moment they land on your page?
  • Availability: Is your website user-friendly? Can they swiftly locate information? They should be able to find call-to-action buttons, menus, filters, and search choices with ease.
  • Legibility: Is the text simple to read for users?
  • Language: Is the language simple to grasp for users? Do you avoid using industry jargon in your UX authoring, which might lead to confusion and hesitation?

What Is The Significance Of UCD?

User experience is important in product design, especially in digital products such as app design, web and interface design, and marketing. Customers want their lives to be simplified. A website, app, or product exists to fulfill a consumer. Hence its success is determined by their interaction with it.

The following are some of the advantages of a user-centered design strategy for a business:

  • Customers keep coming back for more
  • There would be an increase in sales
  • Creating polished, efficient, and widely available goods
  • Understanding challenges thoroughly to provide suitable solutions
  • Customers and teams working together
  • Avoiding typical blunders
  • Enhancing Competitiveness
  • Assisting them in comprehending their market

It offers consumers the following advantages:

  • Making their life easier
  • Fulfilling their desires
  • Companies making them feel heard and understood
  • Making them feel important in the creation of things they use
  • Providing answers to challenges they were unaware they had or could not imagine solutions to

Let’s dig in to learn more about the advantages of UCD.

Businesses can benefit from using the user-centered design approach in various ways. As you incorporate this into your web development, you can enjoy the following four main advantages.

1. Prevent Project Failure

Your company might find it simpler to incorporate improvements and ensure your product is in line with actual user needs if you have a continuous feedback process assessing how customers react to your product, like a website.

Customers feel like their needs are better represented in the finished product, which can increase engagement and strengthen the bond with the company.

2. Improve ROI

This method produces products that more accurately reflect user expectations. The procedure also lessens mistakes made by website users, for instance. When combined, these factors motivate users to convert from leads to paying clients, boosting return on investment.

3. Increase Development Efficiency

In user-centered design, the objectives of the various team members are aligned. This can help clarify the best course of action for all parties involved. A more targeted, goal-oriented development process may be encouraged by the regular evaluation process.

Additionally, businesses can engage stakeholders and explain how their efforts and methodologies will improve customer interactions by using an iterative life cycle during product development.

4. Up The Level Of Competition

Customers will more fully appreciate what you offer, improve their engagement with your product or website, and be more likely to purchase from you if your product is created with their needs and expectations in mind.

As a result, this may increase your ability to compete in your sector.

5. KPIs Are Included

Given your user needs and business objectives, how do you move from the first to the second? You can measure key performance indicators with this in mind once you know what user needs are essential for the overall goals.

For instance, productivity may be the focus of office software, shopper activity may be the focus of sales tools, and retention rates may be the focus of other apps. All of these are necessary steps toward achieving business values like profit and revenue.

Human-Centered Design Versus User-Centered Design

There is a significant difference between humans and users. Simply put, all users are humans; however, not all humans will use your product. Therefore, you must thoroughly understand your target market to produce a successful user-centered design.

Detailed research should be done on the problems and goals of your users. Then, talk to them and give them several chances to offer feedback. By doing this, you’ll create a user persona that is complete and that you can use to determine the priorities for your design.

It’s critical to understand that different user groups may have additional requirements, levels of technical expertise, and expectations for using products like the one you’ve made.

What crucial guidelines or principles should designers consider when adopting a user-centric design?

The Process Of User-Centered Design

Certain fundamental principles underpin user-centered design. While the development process is always iterative, no explicit methods for implementation are specified. The approach can be implemented in either a waterfall or an agile environment.

1. Contextualization

The first step is to analyze the environment in which users will use the product. What are the intended applications of the product for future users? Teams working on projects can get answers by watching and talking to potential users.

2. Outlining The Prerequisites

Specifying the requirements for the new product is the second step. In this step, user requirements are described while considering corporate needs.

3. Design

Once the requirements are established, the actual design process can begin. Designers typically start by producing a straightforward prototype, like one made of paper, then move on to digital wireframes and a finished prototype.

4. Analysis

The project team solicits feedback from potential users after creating a prototype. This is typically done for digital applications through in-depth user testing and qualitative research.

Do surveys and tests evaluate user satisfaction, effectiveness, and efficiency? With the new information, the project team goes back to step 2 or step 3 of the design process to improve the product. Once the user feedback is satisfied, these iterations continue while taking into account corporate frameworks (time and costs).

Top 10 User-Centered Design Principles

Principles of user-centered design attempt to guarantee that usability is the primary priority throughout the development process. These principles, if successfully followed, will ensure that user experience is fulfilled not just during the initial introduction of a product but also during its use.

Furthermore, each of the following principles may be tailored to match the specific requirements and interaction demands of any product.

1. Use Simple Language

Professional Web Designer strives to provide the most readable discourse for the user while creating a product. This involves clarifying vocabulary, eliminating jargon, and simply providing information pertinent to the work.

Presenting users with irrelevant information throughout their use of the product taints its usefulness. Furthermore, basic language helps the user finish the work without being overwhelmed or confused.

2. Feedback

Users expect a reaction to all of their actions. This might involve modifying the look of the screen after completing an activity. If the job is finished after some time, it should display a loading page to notify the user that the task is in process.

Keeping the user informed throughout the process reassures them and keeps them on track with their job.

3. Maintaining Consistency

Keeping the product consistent is essential in ensuring an ideal user experience. Consistency affects how customers approach a product, and the time it takes to learn how to use it.

From the start of the project until its completion, the consistent philosophy underpinning the UCD process should be maintained. If the interface design needs to be updated, it is critical to maintaining consistency across new features to stay beneficial to the user.

4. Give The Complete User Control

Consumers are already aware of their requirements. They should be able to use a product with minimal effort and depend on the product’s help to accomplish the rest.

By removing the effort from the job, the user can do it quickly while keeping control of their activities.

5. Describe The Situation

Before developing a product, the designer must first investigate the ideal user and their wants. The designers can gain a comprehensive sense of some of the issues these people experience by studying their lifestyles.

Many of these observations are conducted through interviews. These interviews provide the designer with information on the exact goals that users want to attain and how they want to achieve them.

6. Examine the Design

Designers undertake usability testing with actual users of their product at this stage in the UCD process. This stage provides designers with insight into how consumers will interact with the product and how to modify it to suit them better.

It is advised that this stage be completed as quickly as feasible. The sooner customers provide input, the faster designers can comprehend their product from the user’s perspective.

7. Create Designs That Are Specific To The Needs Of The User

The design team must examine the distinctive features of their intended demographic as well as frequent real-world activities while beginning the design process. Furthermore, the product should be appropriate for the environment in which it will be utilized the most.

Making a product that needs a lot of work from the user reduces its usability and usefulness, ultimately defeating the objective of UCD.

8. The Design Process Is Iterative

Because user-centered design is based on putting the user first, the product team should constantly be working to improve the user experience. By introducing changes gradually, you will gain a better understanding of your target audience.

9. Adequate Navigational Tools

An essential component of the user experience is the capability to navigate between pages of your website and return to the previous one. Make sure users know where they are on your website and how to leave any pages they don’t want to see.

Customers can better understand how to navigate your page by giving them features like a navigation map, for instance. Make it simple for customers to change their order without leaving the current page if they buy clothing and discover they need a different size once they reach the checkout page.

10. Unflawed System

Customers should find it easy to navigate between your website’s pages and accomplish their goals. If they make a mistake, be there to help them fix it so they can achieve their goal.

The form may ask for specific, essential fields, such as the square footage, and may also include a gentle reminder or an alert that appears if the user accidentally leaves a required field blank.

Customers may feel more comfortable responding to your prompts and participating in a conversation if you ask questions one at a time and offer automated responses for each response.

Wrapping Up

User-centered design is more than just making a good product. It goes further than that. You demonstrate your motivations and intentions by putting your users in the spotlight. You’re demonstrating that it’s not all about meeting deadlines or turning a profit. Instead, you’re telling your users that you understand what they want and prioritize their needs.

It should come as no surprise that the most effective teams are user-centric. Knowing your customer is essential for success in any industry, including design. Create products that put the user first, and you will create products that people will love.

You can build a more robust, user-friendly website that is better equipped to respond to user needs and expectations by incorporating the User Centered Design process into your product design. However, it’s crucial to collaborate with a specialist who can apply these techniques and produce the result you’ve envisioned.

 

Featured image by pch.vector on Freepik

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Source de l’article sur Webdesignerdepot

It’s something every design team dreams about – a better design process and handoff procedure. Your design team is not alone if you are looking for a better solution.

Imagine what your workflow would look like if you could forgo the struggles of image-based technology, design and handoff with accurate components that have interactive features. Projects in the design phase will look more like final products and, most importantly, interact like final products. 

Let’s imagine a new design process together.

Challenges of an Image-Based Design Process

Here’s what we all know – image-based design tools provide pictures of components in the visual form but lack the interactivity and conditions that exist in the end-product. There’s not a high level of functional fidelity there, and it can cause confusion among design teams and rework.

These tools require you to redraw the fundamental components and design with boxes and rectangles, which takes too much time and can create a disconnect between the design and development teams. 

Further, you don’t fully maximize the potential of a design system because of inconsistencies between code-powered systems that developers use and these image-based systems for designers. There’s an innate gap between maintaining the environments and creating consistency in components. 

The final and maybe most difficult challenge with an image-based design process is in usability testing. You just can’t test an image the way you can working components. If the prototype is not interactive enough, you lose valuable feedback in the testing process. Functional fidelity is a must-have design and development tool in 2022. 

Iress, market-leading financial software, had many of these same problems in its design system process. You can probably relate to its story, which includes a designer and engineer who aren’t entirely on the same page, hit the deadline and have to deliver, and then get customer feedback. The result was a lot of extra headaches and work. 

But there is a better way: Import all user interface components into a code-powered design system in sync with a design tool so that your team can work in harmony to build, scale, and handoff projects with ease. 

Scale Design With Accurate Components

Here’s what most design and development teams want en route to building products: Accurate components with built-in interactivity, states, and conditions. No redrawing boxes and rectangles; no trying to figure out what states and interaction should be.

And if you can do it with ten times the speed and agility? Now you’re really in business. 

“It used to take us two to three months just to do the design. Now, with UXPin Merge, teams can design, test, and deliver products in the same timeframe,” said Erica Rider, Senior Manager for UX at PayPal. “Faster time to market is one of the most significant changes we’ve experienced using Merge.”

The time and workflow savings come from the ability to maintain only one environment as a product team. Rather than image-based tools, a code-powered design system that will push updates to components as the design evolves is the modern way to work. This workflow can also eliminate duplicate documentation so that your team has a single source of truth for whole product teams. 

Now you can be more agile in the design process and scale. And as Rider hinted at, there is a solution already available in UXPin Merge. 

Scalability with accurate design components has other benefits as well. 

Teams can onboard people faster because the design system is in the design tool. There’s less searching for answers with drag and drop-ready building blocks. New team members will find more success and be more valuable to the team quicker due to fewer inconsistencies and errors. 

Testing also gets a boost as you scale with a single source of truth. You can actually create better usability tests with a high-fidelity, functional version of the prototype, allowing users to leave more valuable and detailed feedback that can improve your product in the early stages. 

Better Handoffs Start Here

As you imagine a better design process, take it one step further. Better handoffs are a goal for most teams. 

An interactive component-based design tool can eliminate the need for multiple iterations of the same meeting to explain how a prototype works. Everyone can see and interact with it for themselves with accurate, true components that ensure the prototype works the same as the product. 

Designers will feel more like their vision is making it into the final product, and developers have a better idea of how to work. Everyone has the exact same components written in code. Thanks to the single source of truth, devs can speed up as they build the product because they start with components that include production-ready code.

A typical design to developer handoff might have multiple steps: Create vector design elements, create a model for interactions, and then send the prototype with documentation. Not to mention the meetings that are required to make sure everyone is on the same page.

In a model with interactive component elements, the developer handoff is fast and easy; they create a prototype with true components and all the built-in properties. The developer copies the JSX code and pastes it into his tool to build the final product. All the component properties and their coded interactions already exist in the source code. This is possible because the source of truth is the code itself, the source code.

Quick Tool Solution and Technical Use

This solution to this common challenge is not somewhere in the future; it’s already here.

UXPin, a code-based design tool, has Merge technology, which allows you to bring all interactive components into UXPin. Then you can use your own, or the open-source library with the ready-made building blocks to get products ready faster.

Here are just a few of the things you can do with Merge by UXPin:

  • Integrate your developer’s storybook to use it as a single source of truth (works for all frameworks)
  • Import design system components from a dev’s Git repository, such as GitHub, Bitbucket, GitLab, or others (works with React)
  • Work with the built-in MUI library
  • Add the npm component package to UXPin on your own (no developer required)
  • Design with the confidence that your work can be ideally reflected by developers
  • Create and share a library of interactive components

Summary 

Say bye-bye to redrawing rectangles – build more accurate prototypes easier and end-products faster with Merge by UXPin.

Now is the time to solve one of your biggest design challenges while upgrading and scaling the design process and improving handoffs. 

Merge by UXPin is user-friendly and made for scalable projects of almost any size. The line between design and development blurs with quicker product release and a fully-interactive solution. Request access today.

 

[– This is a sponsored post on behalf of UXPin –]

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The post How to Scale Your Design Process and Improve Handoff first appeared on Webdesigner Depot.

Source de l’article sur Webdesignerdepot

“Minimum Viable Product,” or “MVP,” is a concept of agile development and business growth. With a minimum viable product, you focus on creating the simplest, most basic version of your product, web application, or code possible.

Minimum viable products include just enough features to attract early adopters and validate your idea in the early stages of the development lifecycle. Choosing an MVP workflow can be particularly valuable in the software environment because it helps teams receive, learn from, and respond to feedback as quickly as possible.

The question is, how exactly do you define the “minimum” in MVP? How do you know if your MVP creation is basic enough while still being “viable”?

Defining the Minimum Viable Product: An Introduction

The concept of “Minimum Viable Product” comes from the Lean Start-up Methodology, introduced by Eric Ries. The purpose of MVP is to help companies quickly create versions of a product while collecting validated insights from customers for each iteration. Companies may choose to develop and release minimum viable products because they want to:

  • Introduce new products into the market as quickly as possible;
  • Test an idea with real users before committing a large budget to product development;
  • Create a competitive product with the use of frequent upgrades;
  • Learn what resonates with the target market of the company;
  • Explore different versions of the same product.

Aside from allowing your company to validate an idea for a product without building the entire concept from scratch, an MVP can also reduce the demand on a company’s time and resources. This is why so many smaller start-ups with limited budgets use the MVP and lean production strategy to keep costs as low as possible.

Defining an MVP: What your Minimum Viable Product Isn’t

When you’re building a Minimum Viable Product, you’re concentrating on developing only the most “essential” features that need to be in that product. For instance, you might be building a shopping app for a website. For the app to be “viable,” it would need to allow customers to search through products and add them to a basket or shopping cart. The app would also need a checkout feature and security components.

However, additional functionality, like the ability to send questions about an item to a customer service team or features that allow clients to add products to a “wish list,” may not be necessary straight away. Part of defining a minimum viable product is understanding what it isn’t. For instance, an MVP is not:

  • A prototype: Prototypes are often mentioned alongside MVPs because they can help with early-stage product validation. However, prototypes are generally not intended for customers to use. The “minimum” version of a viable product still needs to be developed enough for clients and users to put it to the test and provide feedback.
  • A minimum marketable product: An MVP is a learning vehicle that allows companies to create various iterations of an item over time. However, a minimum marketable product is a complete item, ready to sell, with features or “selling points” the company can highlight to differentiate the item from the competition.
  • Proof of concept: This is another similar but distinct idea from MVP. Proof of concept items test an idea you have to determine whether it’s attainable. There usually aren’t any customers involved in this process. Instead, companies create small projects to assess business solutions’ technical capabilities and feasibility. You can sometimes use a proof of concept before moving on to an MVP.

Finding the Minimum in your MVP

When finding the “minimum” in a minimum viable product, the primary challenge is ensuring the right balance. Ideally, you need your MVP to be as essential, cost-effective, and straightforward as possible so that you can create several iterations in a short space of time. The simpler the product, the easier it is to adapt it, roll it out to your customers, and learn from their feedback.

However, developers and business leaders shouldn’t get so caught up focusing on the “Minimum” part of Minimum Viable Product that they forget the central segment: “Viable”; your product still needs to achieve a specific purpose.

So, how do you find the minimum in your MVP?

1. Decide on Your Goal or Purpose

First, you’ll need to determine what your product needs to do to be deemed viable. What goal or target do you hope to achieve with your new product? For instance, in the example we mentioned above, where you’re creating an ecommerce shopping app, the most basic thing the app needs to do is allow customers to shop for and purchase items on a smartphone.

Consider the overall selling point of your product or service and decide what the “nice to haves” are, compared to the essential features. For instance, your AR app needs to allow people to interact with augmented digital content on a smartphone, but it may not need to work with all versions of the latest AR smart glasses.

2. Make a List of Features

Once you know the goal or purpose of your product, the next step is to make a list of features or capabilities you can rank according to importance. You can base your knowledge of what’s “most important” for your customers by looking at things like:

  • Competitor analysis: What do your competitors already offer in this category, and where are the gaps in their service or product?
  • User research: Which features or functionalities are most important to your target audience? How can you make your solution stand out from the crowd?
  • Industry knowledge: As an expert in your industry, you should have some basic understanding of what it will take to make your product “usable.”

3. Create Your Iterations

Once you’ve defined your most important features, the next stage is simply building the simplest version of your product. Build the item according to what you consider to be its most essential features and ask yourself whether it’s serving its purpose.

If your solution seems to be “viable,” you can roll it out to your target audience or a small group of beta testers to get their feedback and validate the offering. Use focus groups and market interviews to collect as much information as possible about what people like or dislike.

Using your feedback, you can begin to implement changes to your “minimum” viable product to add more essential features or functionality.

Understanding the “Minimum Viable Product”

Minimum viable products are evident throughout multiple industries and markets today – particularly in the digitally transforming world. For instance, Amazon might be one of the world’s most popular online marketplaces today, but it didn’t start that way. Instead, Jeff Bezos began purchasing books from distributors and shipping them to customers every time his online store received an order to determine whether the book-selling landscape would work.

When Foursquare first began, it had only one feature. People could check-in at different locations and win badges. The gamification factor was what made people so excited about using the service. Other examples include:

  • Groupon: Groupon is a pretty huge discount and voucher platform today, operating in companies all around the world. However, it started life as a simple minimum viable product promoting the services of local businesses and offering exclusive deals for a short time. Now Groupon is constantly evolving and updating its offerings.
  • Airbnb: Beginning with the use of the founders’ own apartment, Airbnb became a unicorn company giving people the opportunity to list places for short-term rental worldwide. The founders rented out their own apartment to determine whether people would consider staying in someone else’s home before eventually expanding.
  • Facebook: Upon release, Facebook was a simple social media tool used for connecting with friends. Profiles were basic, and all members were students of Harvard University. The idea quickly grew and evolved into a global social network. Facebook continues to learn from the feedback of its users and implement new features today.

Creating Your Minimum Viable Product

Your definition of a “minimum viable product” may not be the same as the definition chosen by another developer or business leader. The key to success is finding the right balance between viability – and the purpose of your product, and simplicity – or minimizing your features.

Start by figuring out what your product simply can’t be without, and gradually add more features as you learn and gain feedback from your audience. While it can be challenging to produce something so “minimalistic” at first, you need to be willing to release those small and consistent iterations if you want to leverage all the benefits of an MVP.

Suppose you can successfully define the meaning of the words “Minimum” and “Viable” simultaneously with your new product creations. In that case, the result should be an agile business, lean workflows, and better development processes for your entire team.

 

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Few things are more important to a web designer or developer’s chances of success than having the proper workflow. The term “workflow” applies to the set of standardized steps you or your company uses to create, test, and deploy designs or products.

Over the years, as development processes have evolved, so too have the workflows experts use to bring their ideas to life. The MVP workflow, or “Minimum Viable Product” strategy, is one of the most popular options in 2022.

Here’s what you need to know about the MVP workflow and how it differs from some of the other standard workflows developers may be used to.

What is the Designer/Developer Workflow?

As mentioned above, the designer/developer workflow is a series of steps used by experts in the web design world to achieve a creative goal. The process includes the steps taken to start a project, evolve it, and finish it. Since software is never developed without tools, the technology you’ll access throughout the development process is also considered in most workflows.

An example of a standard development workflow might look like this:

  • Scaffolding: This is the stage wherein you start your new web project, creating a git repo, downloading libraries, preparing file structures, and completing other tasks to make sure your product is ready to roll out into the world.
  • Develop: This is where you’ll spend most of your time writing code for your application or website. The development process may include various specific tools and support from other staff members.
  • Test: In this stage, you examine the functionality of your code to determine if everything works as it should. If there are errors or issues, you can go back and develop fixes to the potential problems. Your code may go through the development/test process several times before you can move to the next stage.
  • Integrate: This is when you merge the code for your part of the development process with the rest of the team. You can also integrate your code into websites and existing apps at this point. If you’re working solo, you can skip this process.
  • Optimize: You prepare all your assets for use on a production server during the optimization stage. Files are generally optimized to ensure your visitors can view your site easily or access your applications with ease.
  • Deploy: In the deployment stage, developers push code and assets up into the server and allow for changes to be viewed by the public.

What is MVP? (Minimum Viable Product)

Now you know what a developer workflow looks like, you can begin to assess the concept of the “MVP” workflow. The term “MVP” stands for Minimum Viable Product.

The idea of “Minimum Viable Product” applies to a range of industries, from education to healthcare and government entities. This term comes from lean start-up practices and focuses heavily on the value of learning and changing during the development process.

When you adapt your workflow to focus on an MVP, you’re essentially adjusting your focus to a point where you can create a stripped-back version of something new – like an app or a website. The MVP is built just with the core features (the minimum), so you can bring the idea to market and test it as quickly as possible.

For instance, if your goal were to create an attractive new website for a client, an MVP would focus on implementing the crucial initial tools, and nothing else. While you may create checkout pages, product pages, and other aspects of the site, you wouldn’t populate it with content or start experimenting with bonus widgets and apps.

So, how does this offer a better alternative to the standard workflow?

Simply put, an MVP workflow is quick, agile, and easy. The idea is you can validate key concepts with speed, fail quickly, and learn just as fast. Rather than having to build an entire app and almost start over from scratch every time you find an error, you can race through the iteration and development process.

MVP workflows are also highly appealing to start-ups and entrepreneurs hoping to validate ideas without a massive amount of upfront investment.

Examples of MVP Workflows

Still confused? The easiest way to understand how an MVP workflow works is to look at an example.

Let’s start with a conceptual example. Say you were building a voice transcription service for businesses. The desired features of this product might include the ability to download transcription, translate them into different languages, and integrate them into AI analytics tools.

However, using the MVP approach, you wouldn’t try to accomplish all of your goals with your software at once. Instead, you’d focus on something simple first – like the ability to download the transcripts. Once you confirm you can do that, you can start a new workflow for the next most important feature for the app.

One excellent example of a company with an MVP approach is Airbnb. The entrepreneurs behind this unicorn company, Joe Gebbia and Brian Chesky, didn’t have a lot of cash to build a business with at first. They had to use their own apartment to validate the idea of creating a website where people could share their available “space” in a home or apartment with the public.

To begin, Airbnb only created a very basic website, published photos of their property, and waited to see the results. After discovering people were genuinely interested in renting another person’s home, the company was able to begin experimenting with new ideas to make a site where people could list their properties for travelers.

The Pros and Cons of an MVP Workflow

There are a lot of benefits to the MVP workflow – particularly when it comes to gaining agility and developing new products quickly. However, there are downsides too.

Pros

  • With an MVP approach, you can maximize your learning opportunities and create a more innovative, successful product at speed. You get to test every step of the way.
  • You release iterations or versions of your product quickly, which means you discover problems faster, allowing you to quickly solve these issues.
  • You build on the benefits of customer fans, “evangelists” in the marketplace who are keen to help your product or service grow.
  • An MVP gives you more freedom to try out unique ideas and “risks” you might otherwise avoid with a traditional workflow.
  • Because you’re focusing on creating only the “minimum viable product,” you don’t have to spend a fortune on initially setting up your workflows.

Cons

  • Agile work with an MVP flow requires a lot of effort in collecting constant feedback from customers and releasing iterations.
  • You’ll need to dedicate yourself to releasing many small and frequent product releases on a tight schedule.
  • You might have to revise the functionality of your product or app a number of times.

Creating Your MVP Workflow

If you believe an MVP workflow might be effective for you, the first step is defining your “Minimum Viable Product.” The app, website, or product you design needs to align with your team’s strategic goals, so think about what your company is trying to achieve at this moment – before you get started. If you have limited resources, or specific purposes, like improving your reputation as a reliable company, now might not be the right time to develop a new MVP.

Ask what purpose your minimum viable product will serve and what kind of market you’re going to be targeting. You’ll need to know your target customer to help you test the quality and performance of each iteration of your MVP. Once you know what your ideal “product” is, ask yourself what the most important features will be.

You can base these decisions on things like:

  • User research
  • Competitive analysis
  • Feedback from your audience

For example, if you’re producing an AI chatbot that helps companies to sort through customer inquiries, the most important “initial feature” may be the ability to integrate that bot into existing websites and apps owned by the company.

MVP Approach Guidelines

Once you have your hierarchy of most valuable features for your minimum viable product, you can translate this into an action plan for development. Remember, although you’re focusing on the “minimum” in development, your product still needs to be “viable.” In other words, it still needs to allow your customer to achieve a specific goal.

  • Review your features: Reviewing your prioritized product requirements and the minimum level of functionality you can deliver with each of these “features.” You need to ensure you’re still providing value to your customer with anything you produce.
  • Build your solution: Build your minimum set of features for the product or service. Remember to build only what is required. You can use methodologies like the agile or waterfall method to help guide your team during this process.
  • Validate your solution: Release your offering into the market, and ensure you have tools in place to gather feedback from early adopters. Use beta programs, focus groups, and market interviews to understand how your solution works for your customers and where you can improve on your current offer.
  • Release new iterations: Based on what you learn from your target audience, release improvements to your product quickly. Use your validation strategies to collect information from your audience with each release.
  • Review again: Go back to your product requirements and desired features and start the process over again, this time focusing on the next most valuable functionality. Over time, the value of your minimum viable product will increase.

Using the MVP Workflow Approach

While the MVP workflow approach might not be the right solution for every development or design team, it can work very effectively in the right circumstances. The MVP approach doesn’t minimize the importance of understanding market problems and delivering value. Instead, the focus is on delivering quick value that gradually increases and evolves over time.

As many developers and designers know, the most useful form of product validation in most cases is real-world validation. When your customers have had an opportunity to use a product on a day-to-day basis, they can provide much more effective feedback.

Just keep in mind that committing to the MVP approach also means changing your workflow and committing to iterations – otherwise, other features may never be completed. You’ll need to be willing to work quickly and in small bursts without getting too heavily caught up in one feature or functionality.

 

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