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Les marchés de clients individuels, optimisés par les plateformes et les algorithmes, peuvent désormais devenir instantanément une communauté ouverte pour des actions collectives et coopératives.

L’essor des communautés numériques

La technologie aide les clients à interagir plus facilement et à s’organiser en un nombre infini de communautés numériques exigeantes, parfois même révoltées.

Ces communautés se forment souvent de manière spontanée et se développent de façon exponentielle à un coût quasi nul. Nous le voyons, par exemple, lorsque de simples histoires individuelles deviennent virales ou lorsque des entreprises ont à affronter, quasiment du jour au lendemain, des foules qui entreprennent des actions difficiles à gérer.

La création et le partage d’objets sociaux sont au cœur de cette révolution des communautés numériques (1). Les communautés numériques étaient initialement basées sur des intérêts communs et se sont formées autour de points de rassemblement en ligne tels que des groupes de discussion et leurs artefacts numériques, les publications. De nos jours, les objets sociaux numériques prennent toutes sortes de formes, comme les tweets, les photos, les évaluations par les pairs et les mises à jour de statut (c’est-à-dire à peu près tout ce qui suscite un intérêt et une participation de masse et qui peut être facilement partagé).

Plus de 140 000 communautés mondiales se sont formées sur Reddit, couvrant des sujets très sérieux, et d’autres beaucoup plus obscurs. Par exemple, un groupe de 71 000 membres partage des photos de coussinets d’animaux.

La facilité avec laquelle des groupes comme celui ­ci peuvent se former, communiquer et agir implique que ces communautés sociales ne sont pas limitées à des objectifs de divertissement. Certaines sont clairement formées pour déstabiliser ou disrupter des entreprises. Les téléspectateurs, par exemple, ont réussi à faire revivre des séries télévisées, à faire pression sur celles qu’ils n’aimaient pas et à exiger que certaines soient réécrites.

Pour réussir, les entreprises doivent être capables de créer des objets sociaux importants aux yeux des groupes numériques et, par extension, de devenir la pièce maîtresse du fonctionnement du groupe. Il s’agit de trouver le bon équilibre : elles doivent éviter de déclencher la colère d’un groupe et de devenir l’objet de leur mépris.

Les clients se regroupent pour influencer les entreprises de quatre façons :

Ils utilisent les produits comme objets sociaux

Plusieurs sociétés de jeux en ligne ont donné naissance à des communautés participatives en transformant leurs jeux en objets sociaux. Les gamers peuvent partager des stratégies, créer de nouvelles versions des jeux et y jouer ensemble. Les sociétés de services musicaux transforment les playlists favorites en objets sociaux, qui sont ensuite facilement partagés avec d’autres personnes à la recherche du mix parfait.

Ils font des choix informés

Aujourd’hui, les sites d’avis sont généralement utilisés pour complimenter ou critiquer une entreprise en fonction de l’expérience vécue. D’autres utilisent ces avis pour décider quel produit acheter. De plus en plus de communautés numériques optimisées par l’IA se formeront pour partager opinions, conseils, bonnes pratiques et expériences personnelles autour d’intérêts communs.

Des ressources groupées

Les plateformes de données permettent aux clients de se regrouper pour acheter des articles à prix réduit. Les plateformes basées sur les coupons offrent des prix réduits sur des quantités minimums définies par le fournisseur. Les sites de financement participatif (Crowdfunding) permettent aux clients d’attirer l’attention sur une cause charitable ou de proposer leur aide pour développer de nouveaux produits. En échange d’un paiement initial, les donateurs reçoivent généralement le nouveau produit dès son lancement.

Ils font travailler collectivement les robots d’IA

Chargés par les clients d’obtenir le meilleur prix (par exemple via des comparateurs), les robots d’IA pourraient à l’avenir collaborer pour négocier et acheter collectivement des marchandises. Les robots d’IA apprendront à rechercher et à mobiliser d’autres robots d’IA pour aider à servir au mieux les intérêts de tous leurs clients.

Que peut faire votre entreprise ?

Rendre le partage social naturel

Utilisez le Big Data et l’IoT pour concevoir des objets sociaux qui s’intègrent à vos produits, plateformes numériques et à votre présence en ligne et que les gens veulent créer et partager. Oubliez la création et le contrôle de tout le contenu pertinent de l’entreprise, et optez pour le développement de communautés au sein de l’entreprise afin de partager du contenu qui bénéficie à l’entreprise dans le cadre de leurs interactions sociales.

Devenir le centre d’attention de votre communauté

Votre produit peut représenter la raison d’être d’une communauté, en permettant aux gens d’interagir de manière utile entre eux. Par exemple, de nombreux fabricants d’appareils de fitness utilisent des applications pour créer des communautés autour de ces appareils et accroître les interactions via des plateformes numériques.

Aider les communautés à trouver un sens

Aidez les communautés numériques à comprendre ce qu’elles veulent être, à défendre leurs valeurs et à atteindre leurs objectifs. Plusieurs entreprises de prêt-à-porter, par exemple, ont tiré profit de la volonté de leurs communautés de faire une différence à l’échelle mondiale, en associant l’achat d’un produit à une aide destinée à des communautés dans le besoin.

Publié en anglais sur insights.sap.com


Références

(1) « Social objects » (Objets sociaux), Wikipedia, consulté le 2 octobre 2018, https://en.wikipedia.org/wiki/Social_objects.

The post L’expérience client future : des marchés aux communautés appeared first on SAP France News.

Source de l’article sur sap.com

Artificial intelligence. Just hearing the phrase has been a trigger for many in the technology world since that creepy Haley Joel Osment film circa 2001. But more recently, artificial intelligence and machine learning strike fear into the hearts of skilled workers for an entirely different reason: job security, or lack thereof.

Smart-home devices, streaming services, self-checkouts, even Google searches are ways that artificial intelligence has seeped into everyday life, exemplifying the abilities of computers and machines to master both simple and complex tasks. In some instances, these technological advancements make our lives easier, but for some people, their proliferation has meant job loss and skill replacement. There’s no wonder that when artificial intelligence starts being mentioned along with web design and site creation, the spidey senses of designers all over the world start tingling.

designers think outside the box, something that AI just can’t do

But let’s get real about what AI and automation really mean for designers for a second. Talented designers with busy schedules should view these advancements as virtual assistants. For some small businesses on a limited budget, the websites that artificial intelligence can pump out might be fine…for a while. However, as businesses grow, change, require updating and customization to adapt to their customer base, the expertise of creative and talented designers will always be needed. Even the best AI that we see today is limited by evaluating, replicating, and revising what already exists. It may be able to mix 1,000 different color schemes into 10 million potential combinations, but great designers think outside the box, something that AI just can’t do.

In fact, rather than being scared of automation, designers ought to embrace automation and artificial intelligence as a way to unleash their creative thinking. Delegate repetitive, straightforward tasks to the right software, and suddenly you have time to bring your best ideas to the table and push the boundaries of your own innovation. 

Where AI has Failed in Design

The ultimate goal of artificial intelligence and automation in design work is a grand vision that has yet to be realised.

Consider the case of The Grid, which began as a crowdfunding campaign in 2014. The “revolutionary” product posed itself as an artificial intelligence solution for building thoughtfully, yet automatically, designed websites in five minutes. Research “Reviews of the Grid” in any search engine and you’ll be met with scathing criticism with only some small praise sprinkled in. Most of the initial users cite underwhelming results, the feeling of being duped by the Grid’s marketing tactics, nonsensical placement of text, and ultimately, the Grid being a complete waste of money for the resulting product. Even at the low cost of $100, compared to hiring a talented designer, most users felt their investment was wasted.

For the AI capabilities that exist now, most small business owners, or those looking to put together a simple website, are better off using drag and drop site builders (Wix, Squarespace, Weebly, etc) that have been around for ages. Even so, there are plenty of businesses still willing to hire designers to take this simple task off their plate due to a lack of technical expertise or lack of time. And let’s be honest, are there even enough talented (keyword here!) designers out there to keep up with the millions of websites created every year, without each one working themselves to death? 

Where Automation Shines for Designers

Fortunately for good designers, it appears for now that the days of artificial intelligence completely taking over their jobs is a fantasy. However, what AI and automation do offer designers is a solid starting point for success, eliminating much of the lower-level grunt work that most designers would rather skip anyway.

Even well-received AI website builders like Firedrop still require a basic eye for design and specialised knowledge to produce truly unique, high-converting, and user-friendly websites. Tools and practices that designers should adopt are the artificial intelligence and automation resources that will help them do their jobs better, faster, and leave them with more time to focus on project elements that AI cannot accomplish on its own.

Bridging the Gap Between Designers and Developers

Well-established brands are likely to already have design systems in place that guide the creation of new elements across their digital profiles whether on social media, various mobile apps, or different sections of a website. But even in large corporations — excepting those who have perfected the process — there’s often a breakdown between a designer’s vision and resulting product from the developers. It stems from the basic difference in how they each approach their work and the limitations of the systems they use.

While component libraries — or even full design systems for that matter — won’t reconcile every question, they provide both developers and designers a source of truth to work from that both parties can understand. Design collaboration tools like Invision and Visme, specifically, keep designers and developers on the same page with automated version saving and code-friendly workflows.  

Understanding the Consumer

I don’t suggest using artificial intelligence to produce content for your site

Digging into and understanding the behaviours and habits of site users is a relatively new component of site design, but offers invaluable insights. Tools like HotJar, Mouseflow, or Smartlook make it simple to see holes or leaks in your conversion funnels, detect which page elements users are interacting with, and which they’re not interested in to refine the look and feel of a page for maximum conversions. Even though these tools provide the data, it still takes a keen eye and understanding of design to implement the right changes to improve site performance.

Site content is another way that artificial intelligence has the potential to improve our understanding of customer behaviour and improve site performance for individual users. I don’t suggest using artificial intelligence to produce content for your site, no matter how much the results have improved. However, static landing pages or a single set of further reading recommendations are unlikely to appeal to the majority of site visitors. Artificial intelligence tools like CliClap and Personyze instantly collect and analyse consumer data to provide dynamic, personalised experiences that drive more leads and encourage conversions. Creative designers will also learn from this data to improve customer experience with other pages or elements throughout the site.

Removing Distracting, Time-Sucking Administrative Tasks

Because “artificial intelligence” has become a term with such negative connotations, we often overlook the simple way that AI actually makes our work lives better and easier. Machine learning in email filtering is a great example of this. Consider a simple interface like a Gmail inbox. We have the option to mark certain senders as spam or as important, and our inbox learns that type of communication is and isn’t useful to the user. Pandora, Spotify, Apple Music, and more all take cues from the user behaviour of liking a certain song, artists, or genre of music to build customised playlists. There are a myriad of ways that artificial intelligence and its branches of disciplines merge with our everyday lives. 

Some of the most useful automations for business, and especially for designers, are related to the administrative tasks that frequently take time away or distract from more pressing projects. A perfect example of automation that can relieve stress and cut down on mindless work is an email autoresponder. I’ve always found that having time blocked off in my calendar to tackle complex or important projects helps me to focus on the task at hand and be more efficient. In order to more effectively block out my time, closing my email and setting an autoresponder to reply to all incoming emails serves two purposes: 

  1. Lets those trying to get in touch with me know that I only check my email at certain times of the day and that my response may not be immediate — tempering their expectations of when they might hear from me.
  2. Relieves my personal stress of being tethered to my inbox, splitting my focus, and also saves the time of having to initially respond to each email individually. 

This is just one simple way to use automation in your email, although there are many others to explore.

While Zapier isn’t the only workflow automation service on the market, it’s probably the most well known. Workflow automation reduces time spent on mind-numbing, repetitive tasks and helps designers connect apps that might not natively work together. Do you keep a task list in Todoist? Set up a Zap, then create a task in Todoist anytime someone mentions you on Asana or assigns you a task in Trello.

This is especially helpful for freelance designers who work with multiple clients across various project management platforms. The potential for automation to relieve unnecessary mental overhead for designers is nearly limitless.

Don’t be Afraid of AI, Embrace It

The bottom line of this brief overview of artificial intelligence and automation in design is that this emerging technology isn’t something designers should be scared of. In fact, it’s something to welcome with open arms because ultimately it can make our jobs, and our lives, better. Leave the monotonous tasks of collecting and analysing huge amounts of data or administrative minutiae to the machines; they can handle it.

Save the interesting, creative, abstract work for the talented designers who can turn AI recommendations into unique and intuitive digital experiences. Making the relationship between artificial intelligence and design symbiotic will yield the best results for every entity involved: the business, the AI, and yes, even the designer.

 

Featured image via Unsplash.

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Source de l’article sur Webdesignerdepot