Shuffllis in the Video Creation Tools Industry

Shuffll

The Walking Dead is coming to the Ethereum blockchain’s gaming metaverse through , a decentralised virtual world built by the community. Keep reading for a The Walking Dead NFT. The Sandbox free “We are closely collaborating with Skybound Entertainment on building TWD experiences that translate the spirit of the comic book series into our gaming virtual world,” - Sebastien Borget | Co-Founder of . The Sandbox The Partnership Skybound Entertainment, which was co-founded by The Walking Dead creator Robert Kirkman, has recently partnered with The Sandbox to bring The Walking Dead into the metaverse’s gaming space within the Ethereum blockchain. The partnership promises to bring epic new zombie experiences for fans of The Walking Dead, or zombies in general, to The Sandbox and the blockchain. “Our vision is to make The Sandbox open metaverse feel like a virtual attraction park with many amazing unique social experiences with The Walking Dead, Atari, Smurfs, and more.” - Sebastien Borget | Co-Founder of The Sandbox. The Experience The Walking Dead’s gaming experience within The Sandbox metaverse will be enjoyed immensely by those who love The Walking Dead, zombie-related media and the horror genre. Players will experience what it takes to survive in a zombie-infested world. They’ll need to scavenge supplies, such as food, medicine and resources. They’ll need to build walled or fenced safe havens to protect themselves and other survivors from the Walkers. They may also need to develop mutual friendships and alliances - or take whatever they need by force. “The Walking Dead universe is a good fit as the zombie genre is one of the most popular game categories, and The Sandbox wanted to bring a globally known zombie brand.” - Sebastien Borget | Co-Founder of The Sandbox. The Walking Dead LAND Sale The partnership will kick off with a The Walking Dead themed LAND sale at The Sandbox. LAND on The Sandbox is a virtual piece of digital real-estate that can be monetised. Learn more about LANDs in The Sandbox here: . Why Owning LAND On The Sandbox Could Make You Rich Starting on the 26th August 2021, you will be able to purchase LAND in The Sandbox as part of this partnership, as well as some unique The Walking Dead non-fungible token (NFT) assets. Using this LAND and your assets, you can create your very own experience within The Sandbox metaverse and monetise it to earn yourself a nice, steady flow of income. The Walking Dead LAND sale will span across four waves: Wave 1: The Prison - 26th August at 1pm UTC. Wave 2: The Commonwealth - 2nd September at 1pm UTC. Wave 2: Alexandria Safe Zone - 9th September at 1pm UTC. Wave 4: Finale - 16th September at 1pm UTC. Learn more about these LAND sales in The Sandbox’s official Medium article here: https://medium.com/sandbox-game/the-walking-dead-land-sale-four-weeks-of-apocalyptic-mayhem-starting-on-august-26th-c473115f9ffb BONUS! The Walking Dead Free NFT If you log into The Sandbox or register an account though their official The Walking Dead page here: - You will get a The Walking Dead-themed NFT dropped into your Ethereum wallets when the game launches. https://thewalkingdead.sandbox.game free Helpful links: . The Sandbox’s official knowledge base for information and guides . The Sandbox’s official website and marketplace . The Sandbox’s official Discord server See you in the metaverse, survivor! I won’t bite. … Not yet, anyway. Disclaimer: The writer of this article is a member of The Sandbox community who owns $SAND tokens, LANDs and NFTs, and therefore has a vested interest. Make sure you take the time to do your own research before investing in anything to make sure it is right for you. This article is part of The hosted by HackerNoon in partnership with Gaming Metaverse Writing Contest . The Sandbox Submit your today for your chance to win up to $2000. #gaming-metaverse story

The Walking Dead Shuffles its Way Into The Metaverse

Build a React Shuffle Blog using the Spotify API

In my , I covered how Microsoft and their partners have a vested interest in keeping their products artificially defective and complex. But I didn’t get a chance to dive as far as I would have liked into how Microsoft could go about intentionally keeping their solutions artificially defective or the negative impact that these methods seem to have elsewhere within their company. Without involving employees though, there are only a few ways that a company can intentionally create defective products without making it look intentional. Obviously, its not as simple as their employees dropping random 💩 emojis into their code at night. previous post Certainly, Microsoft could just as well be ignorant and inept with regard to quality software engineering best practices and just accidentally make $89 billion dollars per year. They could also just be dated, as this business model was much more justifiable in the 80’s and 90’s when they had no real competition and the productivity boost that their products offered at the time was unparalleled. Without an intricate understanding of quality engineering though, Microsoft, as a premier software development firm throughout the world, could not get to the level that they are presently at nor could they capitalize on such a dynamic that benefits off of artificially defective products to the degree that they do. It goes without saying, but Microsoft doesn’t actually instruct their employees to create defective software. In fact, as a former Microsoft employee myself, I can confirm that no one in this world hates defects and unnecessary complexity more than Microsoft employees and that great efforts are made to address such problems there. But, while the quality of an IT solution can absolutely reflect the quality and dedication of the engineers that made it, the quality of the environments where these solutions are produced are of equal importance and are reflected in the product just the same. Along with hiring top talent, tech companies, as with others, can nurture their desired end result by adjusting their environment accordingly. This happens to be why modern technology companies tend to spend a significant amount of revenue tuning their work environment with extravagant office perks and progressive management practices. Regardless of how passionate and dedicated they may be, Microsoft employees, unlike Sr. leadership, have little to no influence on environmental variables such as headcount, workload, schedules, resources, morale, management, standards, or ideologies being leveraged; all of which influence the overall quality of their products. As such and just as companies can streamline their environment with this understanding in order to maximize quality, Microsoft can easily apply the same same logic inversely and make subtle changes to the aforementioned environmental variables in order to stifle quality. In doing this and almost as if they can turn a dial, Microsoft leadership can modulate the morale of employees at scale, increasing the tendency for them to be less motivated, more apathetic, less productive, and more error prone without ever having to tell them to do anything but to do their best; all by simply making subtle changes to their environment. For instance and since they depend heavily on vendors, which are almost as numerous as their full-time employees, leadership can easily modulate stress and pressure on their teams by increasing or reducing vendor headcount indiscriminately. It doesn’t matter how great of an employee they are, as people are worked harder and stretched thinner, they tend to cut corners in order to meet deadlines and among other things, they generally become more error prone. By reducing vendor headcount, they can increase workload of their employees at scale while reducing morale which can increase the probability of defects occurring within their products in turn. On top of modulating the pressure on their employees with variable vendor resources, Microsoft can also limit the quality of their products to various degrees by limiting the quality of their environment elsewhere. Besides simply laying off a ton of QAs and SDETs, they can also leverage antiquated leadership that often come attached with antiquated organizational and managerial practices. This kind of leadership often results in frequent re-orgs, tenurocracy, thick management structures, change resistance, complex roles, and a rat race for a review system. When combined with adjusting their vendor headcount and lowering the bar with leadership, such practices can have a significant negative impact on productivity and morale which again can have a limiting effect in the overall quality of their products that they just would not have otherwise. In comparison to having their employees complicit in the sabotage of their products, operating like this can be beneficial for several reasons. For starters, it would be impossible to keep a lid on such a foul if their employees were complicit in it. Conveniently though, making environmental changes in order to make your products artificially defective can be incredibly difficult to correlate, which also distances them from complicity in the matter from a legal perspective. Since so few people are well-versed on the subject of defect density, finding someone with a deep enough understanding of it in order to make such correlations can be quite challenging while also making a plea of ignorance to the subject incredibly easy, believable, and convenient; even for a software engineer. Also, while employee layoffs always seem to make the news, Microsoft’s vendor attrition seldom generates any buzz and they can modulate pressure on remaining employees and vendors with impunity. However, there are drawbacks inherent to operating like this. One unfortunate consequence of Microsoft optimizing their organization in order to make products that are more prone to defects is that doing so also makes their products less competitive in markets where innovation and quality take precedence over the influence of their partners, such as retail markets. To no surprise and presumably for this reason, Microsoft has been experiencing difficulty in reaching retail consumers. The Playstation 4 has Xbox One 2:1, Windows Phone was a complete bust along with their Nokia acquisition, they’re having trouble giving away Windows 10 for free, their health band lasted three minutes, Consumer Reports recently their recommendation for the Surface line of products, Groove is , and no one seems to give a damn about their soon to be released Invoke speaker. outsold pulled going away In order to supplement their defective products in retail markets, Microsoft has to spend more on marketing as well as charging significantly more for support than the likes of Apple. For instance, Microsoft also had to give the NFL $400 million dollars to use their Surfaces for 5 years. Relative to their revenue in 2016, Microsoft spent 1/6th of their revenue on Marketing in comparison to Apple spending only 1/107th of their revenue. Also, a three year AppleCare hardware warranty with unlimited software support costs less than a call to Microsoft for a single Windows support case. Further and by embracing their own solutions when better solutions are available, Microsoft also limits themselves in the same way that other businesses are limited by their products. Not only are Microsoft products more costly with regard to productivity loss, management, and support, there are much more productive and efficient tools available for such work which their competition is using. For a comparison, Apple employees equipped with Apple solutions generate 3x the amount of revenue per employee than Microsoft employees equipped with Microsoft solutions. Certainly, other environmental variables also contribute to this disparity, but the quality and efficiency of tools have a significant impact on the overall quality of the end product, just as the quality and efficiency of weapons influence the outcome of wars. This is yet another reason why IBM switched to Macs and why many startups are standardizing with Apple products to this day. While most would consider Microsoft products to be a standard within industry, they are failing to see them for the monopoly that they are with the help of their partners. From the perspective of productivity software, they fit the profile quite well and there is not a realm of science that could justify the organizational moves and methodologies that Microsoft relies on outside their actions being that of a monopoly or of an inept company. Fortunately, as the IT industry improves its ability to engineer higher quality, more efficient, less expensive, and simpler solutions, Microsoft will eventually be forced to adapt or collapse. Credit where its due, they are trying incredibly hard to diversify their revenue outside of their partner network, but Microsoft’s many blunders throughout these efforts have forced them to revert back to their monopolistic tendencies and depend on artificially defective solutions in order to keep their partner network and investors happy, now more than ever. In summary, this is just one of many ways that monopolies work and to no surprise, Microsoft seems to have a monopoly in the same industries that their partners thrive on. Working in the industry that they built, Microsoft cannot claim to be ignorant of the relationship between the quality of the environment and the quality of their products or of the stimulating effects that their defective software can have on their partners and their own business at the expense of industry as a whole. Without an incredibly high level understanding of engineering best practices, software defect density and the consequences of deviating from them, Microsoft wouldn’t have been able to operate at the level that they do, let alone realize and capitalize on their partner dynamic which is presently responsible for 95% of their revenue. To make such a claim would essentially be the equivalent of saying that they make $89 billion dollars per year by accident.

The Microsoft Shuffle

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Designed for developers familiar with Azure and generative AI, the guide walks you through the process of harnessing the power of the gpt turbo model for code generation. Introduction The Microsoft team has recently launched an challenge in which a developer can learn how to build Azure AI solutions and apps. Open AI Prerequisite Experience working with Azure and Azure portals. An understanding of generative AI. Experience in one high-level programming language like C# or Python Steps to Create Open AI Service on Azure with “Dall-E” model deployed. Day 1 — Azure Open AI Challenge If you would like to explore image generation, follow this link Day 2 — Azure Open AI Challenge: Image Generation Getting Started Considering Azure Open AI Service is running on the Azure portal and the gpt-turbo model is deployed successfully. Step 1: Create a console application To test image generation, create a console application in Visual Studio or Visual Studio Code. dotnet new console Step 2: Read the configuration Read the configuration from appsettings.json file // Build a config object and retrieve user settings.
    IConfiguration config = new ConfigurationBuilder()
        .AddJsonFile("appsettings.json")
        .Build();
    string? oaiEndpoint = config["AzureOAIEndpoint"];
    string? oaiKey = config["AzureOAIKey"];
    string? oaiDeploymentName = config["AzureOAIDeploymentName"]; Step 3: Add sample code Create a file under the console application project as follows: sample-code> function > function.cs namespace Function
    {
        class Program
        {
            int AbsoluteSquare(int num1, int num2)
            {
                int result = Math.Abs(num1 - num2);
                result *= result;
                return result;
            }
        }
    } Another file as sample-code > go-fish > go-fish.cs => Reference file Step 3: Prepare Console Menu The next step is to prepare a menu on the console application using digits. If the console message is “quit” the console application is exited. If the console input is 1 or 2, then the sample file function.cs is used If the console input is 3, then the sample file go-fish.cs is used Else it will return a console message saying invalid input do
    {
        Console.WriteLine("\n1: Add comments to my function\n" +
        "2: Write unit tests for my function\n" +
        "3: Fix my Go Fish game\n" +
        "\"quit\" to exit the program\n\n" +
        "Enter a number to select a task:");
    
        command = Console.ReadLine() ?? "";
    
        if (command == "quit")
        {
            Console.WriteLine("Exiting program...");
            break;
        }
    
        Console.WriteLine("\nEnter a prompt: ");
        string userPrompt = Console.ReadLine() ?? "";
        string codeFile = "";
    
        if (command == "1" || command == "2")
            codeFile = System.IO.File.ReadAllText($@"{AppDomain.CurrentDomain.BaseDirectory}sample-code\function\function.cs");
        else if (command == "3")
            codeFile = System.IO.File.ReadAllText($@"{AppDomain.CurrentDomain.BaseDirectory}sample-code\go-fish\go-fish.cs");
        else
        {
            Console.WriteLine("Invalid input. Please try again.");
            continue;
        }
    
        userPrompt += codeFile;
        await GetResponseFromOpenAI(userPrompt);
    } while (true); Step 4: Code generation from AI Please find below the method GetResponseFromOpenAI, which generates the code using gpt-turbo. Read the configuration values required, if not present don’t execute. Prepare the request for chat completion response. Finally, write the response back to result > app.txt file async Task GetResponseFromOpenAI(string prompt)
    {
        Console.WriteLine("\nCalling Azure OpenAI to generate code...\n\n");
    
        if (string.IsNullOrEmpty(oaiEndpoint) || string.IsNullOrEmpty(oaiKey) || string.IsNullOrEmpty(oaiDeploymentName))
        {
            Console.WriteLine("Please check your appsettings.json file for missing or incorrect values.");
            return;
        }
    
        // Configure the Azure OpenAI client
        OpenAIClient client = new OpenAIClient(new Uri(oaiEndpoint), new AzureKeyCredential(oaiKey));
    
        // Define chat prompts
        string systemPrompt = "You are a helpful AI assistant that helps programmers write code.";
        string userPrompt = prompt;
    
        // Format and send the request to the model
        var chatCompletionsOptions = new ChatCompletionsOptions()
        {
            Messages =
            {
                new ChatRequestSystemMessage(systemPrompt),
                new ChatRequestUserMessage(userPrompt)
            },
            Temperature = 0.7f,
            MaxTokens = 1000,
            DeploymentName = oaiDeploymentName
        };
    
        // Get response from Azure OpenAI
        Response<ChatCompletions> response = await client.GetChatCompletionsAsync(chatCompletionsOptions);
    
        ChatCompletions completions = response.Value;
        string completion = completions.Choices[0].Message.Content;
    
        // Write full response to console, if requested
        if (printFullResponse)
        {
            Console.WriteLine($"\nFull response: {JsonSerializer.Serialize(completions, new JsonSerializerOptions { WriteIndented = true })}\n\n");
        }
    
        // Write the file.
        System.IO.File.WriteAllText(@"result\app.txt", completion);
    
        // Write response to console
        Console.WriteLine($"\nResponse written to result/app.txt\n\n");
    } Test Case 1: Add comments to the code Choose option 1 Then add the following prompt to add comments to the code Add comments to the following function. Return only the commented code. Output Test Case 1 Refer to the sample on . function.cs file GitHub Please find below the convert function with the single line comments added as shown below. // This function calculates the absolute square of the difference between two numbers
    
    namespace Function
    {
        class Program
        {
            // Function to calculate the absolute square of the difference between two numbers
            int AbsoluteSquare(int num1, int num2)
            {
                // Calculate the absolute difference between the two numbers
                int result = Math.Abs(num1 - num2);
    
                // Square the result
                result *= result;
    
                // Return the absolute square of the difference between the two numbers
                return result;
            }
        }
    } Additionally, the user can suggest gpt model to add multi-line comments instead of single lines using the following prompt Add comments to the following function. Return only the commented code. — namespace Function
    {
        class Program
        {
            // This function calculates the absolute square of the difference between two integers.
            // Parameters:
            //   num1: the first integer
            //   num2: the second integer
            // Returns:
            //   The absolute square of the difference between num1 and num2
            int AbsoluteSquare(int num1, int num2)
            {
                int result = Math.Abs(num1 - num2);
                result *= result;
                return result;
            }
        }
    } Test Case 2: Add comments to the code Choose option 2 Then add the following prompt to add comments to the code Write four unit tests for the following function. — Output Test Case 2 Refer to the sample on . Please find below the test cases added function.cs file GitHub Sure! Here are four unit tests for the `AbsoluteSquare` function:
    
    1. Test case where `num1` is greater than `num2`:
    
    [Test]
    public void TestAbsoluteSquare_GreaterNum1_ReturnsSquaredDifference()
    {
        int num1 = 5;
        int num2 = 2;
        int expected = 9;
        int result = Function.Program.AbsoluteSquare(num1, num2);
        Assert.AreEqual(expected, result);
    }
    
    2. Test case where `num2` is greater than `num1`:
    
    [Test]
    public void TestAbsoluteSquare_GreaterNum2_ReturnsSquaredDifference()
    {
        int num1 = 2;
        int num2 = 5;
        int expected = 9;
        int result = Function.Program.AbsoluteSquare(num1, num2);
        Assert.AreEqual(expected, result);
    }
    
    3. Test case where `num1` and `num2` are the same:
    
    [Test]
    public void TestAbsoluteSquare_SameNumbers_ReturnsZero()
    {
        int num1 = 4;
        int num2 = 4;
        int expected = 0;
        int result = Function.Program.AbsoluteSquare(num1, num2);
        Assert.AreEqual(expected, result);
    }
    
    
    4. Test case where `num1` and `num2` are negative:
    
    [Test]
    public void TestAbsoluteSquare_NegativeNumbers_ReturnsSquaredDifference()
    {
        int num1 = -3;
        int num2 = -6;
        int expected = 9;
        int result = Function.Program.AbsoluteSquare(num1, num2);
        Assert.AreEqual(expected, result);
    } Test Case 3: Fix my Go Fish game Choose option 3 Then add the following prompt to add comments to the code Fix the code below for an app to play Go Fish with the user. Return only the corrected code. — Output Test Case 3 Refer to the sample on . go-fish.cs file GitHub Please find below the code that is fixed. using System;  
    using System.Collections.Generic;  
    using System.Linq;  
      
    namespace GoFish  
    {  
        class Program  
        {  
            static void Main(string[] args)  
            {  
                // Define the deck of cards  
                List<string> deck = new List<string> { "A", "2", "3", "4", "5", "6", "7", "8", "9", "10", "J", "Q", "K" };  
                deck.AddRange(deck);  
                deck.AddRange(deck);  
                deck.AddRange(deck);  
      
                // Shuffle the deck  
                var rand = new Random();  
                deck = deck.OrderBy(x => rand.Next()).ToList();  
      
                // Deal the cards  
                List<string> playerHand = deck.Take(5).ToList();  
                List<string> computerHand = deck.Skip(5).Take(5).ToList();  
      
                // Define the initial score  
                int playerScore = 0;  
                int computerScore = 0;  
      
                // Define the main game loop  
                while (deck.Count > 0)  
                {  
                    // Print the player's hand  
                    Console.WriteLine("Your hand: " + string.Join(", ", playerHand));  
      
                    // Ask the player for a card  
                    Console.Write("Do you have any... ");  
                    string card = Console.ReadLine();  
      
                    // Check if the player has the card  
                    if (playerHand.Contains(card))  
                    {  
                        // Remove the card from the player's hand  
                        playerHand.Remove(card);  
      
                        // Add a point to the player's score  
                        playerScore += 1;  
      
                        // Print the player's score  
                        Console.WriteLine("You got a point!");  
                        Console.WriteLine("Your score: " + playerScore);  
                    }  
                    else  
                    {  
                        // Go fish!  
                        Console.WriteLine("Go fish!");  
      
                        // Draw a card from the deck  
                        string drawnCard = deck.First();  
                        deck.RemoveAt(0);  
      
                        // Add the card to the player's hand  
                        playerHand.Add(drawnCard);  
      
                        // Print the card that was drawn  
                        Console.WriteLine("You drew a " + drawnCard);  
                    }  
      
                    // Check if the player has won  
                    if (playerScore == 5)  
                    {  
                        Console.WriteLine("You win!");  
                        break;  
                    }  
      
                    // Computer's turn  
                    string computerCard = computerHand[rand.Next(computerHand.Count)];  
                    Console.WriteLine("Do you have any " + computerCard + "?");  
                    if (playerHand.Contains(computerCard))  
                    {  
                        // Remove the card from the player's hand  
                        playerHand.Remove(computerCard);  
      
                        // Add a point to the computer's score  
                        computerScore += 1;  
      
                        // Print the computer's score  
                        Console.WriteLine("The computer got a point!");  
                        Console.WriteLine("Computer score: " + computerScore);  
                    }  
                    else  
                    {  
                        // Go fish!  
                        Console.WriteLine("The computer goes fishing!");  
      
                        // Draw a card from the deck  
                        string drawnCard = deck.First();  
                        deck.RemoveAt(0);  
      
                        // Add the card to the computer's hand  
                        computerHand.Add(drawnCard);  
      
                        // Print the card that was drawn  
                        Console.WriteLine("The computer drew a " + drawnCard);  
                    }  
      
                    // Check if the computer has won  
                    if (computerScore == 5)  
                    {  
                        Console.WriteLine("The computer wins!");  
                        break;  
                    }  
                }  
            }  
        }  
    } Finally, if you type quit, the console application will be terminated. Complete code on GitHub Make sure to give it a star on GitHub and provide feedback on how to improve the tool further..!! ssukhpinder/AzureOpenAI C# Programming🚀 Thank you for being a part of the C# community! Before you leave: If you’ve made it this far, please show your appreciation with a clap and follow the author! 👏️️ Follow us: | | | | | X LinkedIn Dev.to Hashnode Newsletter Tumblr Visit our other platforms: | | | | GitHub Instagram Tiktok Quora Daily.dev More content at C# Programming Also published . here

Taking the Azure Open AI Challenge, Day 3: Mastering Code Generation

Every product is different in the problem it solves, solution it applies, or customer segment it targets. You can’t blindly benchmark successful practices from one product to another. What you can do is constantly train your eye and taste to identify patterns, find inspiration, and connect the dots for your product. In this article, I explore the techniques that 15 popular mobile applications use to onboard new customers. Metacast Metacast is a new podcast app that is currently in public beta. While it’s not exactly the stage where companies think about perfecting onboarding, Metacast chose the medium that only feels right for a podcast app — audio. In 5 minutes intro, the team behind the product explains how to use the app. Since Metacast provides a listener with podcast transcripts, it’s especially handy to be able to follow the story and explore the app with both eyes and ears. https://www.youtube.com/watch?v=a6mZy8iX-uE%3Fsi%3DVUIJlfY1xvKwQ58v&embedable=true Craft The inspirational note-taking app Craft welcomes new users by quoting what its most loyal customers think about the tool. I don’t know whether the company collected this feedback from reviews or through a Product / Market fit survey (a powerful tool to find out how customers perceive value) but it’s a beautiful application of , a psychological phenomenon coined by Robert Cialdini in his 1984 book that describes how people tend to copy the behaviors of others when deciding how to respond to a particular situation. It is also an example of Daniel Kahneman’s associative coherence: in the same way that holding a warm cup of coffee makes you more likely to think well of a stranger, social proof of an app increases the chances a new user will like it. social proof Influence: Science and Practice https://www.youtube.com/watch?v=hskZWNkOpro&embedable=true ten ten ten ten is a social walkie-talkie app that allows reaching out to friends anytime, without prior notice, even when their phone is in their pocket with a screen locked. Yes, you read it right. Sounds weird? Wait until the app starts talking to you through phone speakers to onboard you! While many people might not be ready for such an open relationship, it’s only right for a product like this to strike with its key value proposition right away. https://www.youtube.com/watch?v=qxfRQACIpl0&embedable=true Session Session is an end-to-end encrypted messenger with a focus on privacy and anonymity. To emphasize the product’s mission, the company actively uses interface metaphors during the onboarding phase. The very first product intro is presented through a chat interface, native to a messenger product. A new user then receives a Session ID, delivered through a simulation of a random selection of characters and numbers. Finally, the allure of protected experience is topped off with a unique recovery phrase hidden under a long tap. https://www.youtube.com/watch?v=2rZbPbHLTng&embedable=true Headspace This one is brilliantly simple. Headspace is a meditation and mindfulness app. While most companies use a splash screen to show off their logo, Headspace begins like any meditation does — with a deep breath in and a slow breath out. https://www.youtube.com/watch?v=547JxYQMttg&embedable=true Zing Coach Zing Coach is an AI-powered fitness app. Like most popular apps in the health & fitness category, Zing Coach starts with an interactive survey on a new user’s lifestyle and goals to create a supposedly personalized training program. What the app does differently is its fitness level measuring test. By asking a new user to go through a real 5-minute test workout to adjust the intensity for future exercises, Zing Coach brings new users to the first moment faster, breaking the very first barrier of starting regular training. a-ha! https://www.youtube.com/watch?v=yjlYk_gD4sc&embedable=true Shuffles Shuffles is a Pinterest app for creating striking animated collages. While the use of video in onboarding is rarely justified by utility, in this case, it only feels right to show off the crazy amount of creativity embedded in the app compared to most competitors, while simultaneously demonstrating what it’s capable of. https://www.youtube.com/watch?v=RP5BkTe9igw&embedable=true Me+ Me+ is a planner app striving to turn daily routines into habits. Throughout the whole onboarding journey, the app consistently backs its value proposition with different forms of : a high percentage of customers achieving positive change, App Store rating, and reviews. social proof Insight Timer The meditation app Insight Timer takes a step further by binding social proof with a sense of belonging. Not only does the app boast impressive metrics such as the number of customers and reviews, but it also supports new users by showing they are not alone in their struggles and there are lots of other people who go through the very same challenges. Must Must is another example of an app where the use of video in onboarding feels only natural. The app lets its customers discover, track, and review movies as well as connect with friends around a common passion. By welcoming new users with a full-screen showreel of everyone’s favorite hits, Must immerses newcomers into the movie experience from the get-go. https://www.youtube.com/watch?v=LJ04Kv4hYFI&embedable=true Woofz Woofz is a dog-training app that provides its customers with professional advice on care, health, and fitness monitoring. One of the first steps that the app takes a new user through is pledging for a dog parent’s commitments and stamping that pledge into the owner’s training passport, thus formally signifying responsibility to a pet. https://www.youtube.com/watch?v=6qmDdb22nUE&embedable=true BetterSleep While for some products a native communication medium is visuals or haptics, BetterSleep opens up with a calm, dreamy sleepcast that sets up a new user for an unwinding experience from the get-go. https://www.youtube.com/watch?v=yN-Hd7Qn-Xc&embedable=true Yazio While many health-related apps claim to provide training programs personalized according to user preferences and goals, rarely do they make clear how personalization actually works. Yazio at least explicitly shows the parameters its personalization takes into account. After a personalized program is ready, Yazio explains how it will help a new user to achieve goals. https://www.youtube.com/watch?v=bgKGs-9rga4&embedable=true Fastic Most mobile applications seek notification permission from new users during the very first session to be able to return them later. The food-tracking app Fastic incentivizes users to enable notifications by both showing the types of messages they will receive and social proofing with an increased probability of achieving dieting goals. https://www.youtube.com/watch?v=bdF1tT4YrbA&embedable=true Brickit While most products focus on productivity, some rely on emotions. Brickit is an app that suggests new ideas to build from your existing Lego bricks. To enhance creativity and playfulness from the very beginning, Brickit onboards new users with the help of a brick mascot that combines a robot-like appearance with humane mimics. https://www.youtube.com/watch?v=tWnTWFRMwRo&embedable=true Conclusion What this exploration proves is that there is no just one singular pattern to onboard new customers. Instead, look for what feels natural to your product, be it communication medium, interface metaphors, social proof, associative coherence, pledge of responsibility, or immersive, emotional touch. Hopefully, these examples will give you new angles to look at familiar topics. If you are just getting started with onboarding, check out . the general approach that I worked out while building onboarding for three popular consumer mobile apps Thank you for giving this a read. Please share your thoughts in the comments. Would love to hear what other techniques you tried to make onboarding successful.

15 User Onboarding Techniques I Found In Consumer Mobile Apps

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