--- description: HumanFirst : qu'en pensent les utilisateurs ? Lisez les avis clients sur HumanFirst, consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités grâce à Capterra Luxembourg. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: HumanFirst - Avis, notes, prix et abonnements - Capterra Luxembourg 2026 --- Breadcrumb: [Accueil](/) > [Outils de chat avec IA](/directory/31596/conversational-ai-platform/software) > [HumanFirst](/software/183859/humanfirst) # HumanFirst Canonical: https://www.capterra.lu/software/183859/humanfirst Page : 1/2\ Suivant: [Page suivante](https://www.capterra.lu/software/183859/humanfirst?page=2) > Un outil optimisé par IA (intelligence artificielle) qui permet de développer des conversations client axées sur l'humain dans toute l'entreprise. > > Conclusion : 11 utilisateurs lui ont donné la note de **4.9/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.9/5** | 11 Avis | | Simplicité | 4.5/5 | D'après l'ensemble des avis | | Support client | 5.0/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.9/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.7/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 100% | (10/10 Probabilité de recommander le produit) | ## À propos de l'éditeur - **Société**: Zia.ai ## Contexte commercial - **Type de licence**: (Essai gratuit) - **Public cible**: 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Déploiement et plateformes**: Cloud, SaaS, web, Windows (sur site), Linux (sur site) - **Langues**: allemand, anglais, arabe, chinois, chinois traditionnel, coréen, espagnol, français, italien, japonais, néerlandais, polonais, portugais, russe, thaï, turc - **Pays disponibles**: Australie, Canada, Royaume-Uni, États-Unis ## Fonctionnalités - Analyse de texte - Extraction de données - Logiciels de chatbots - Machine learning - Prise en charge de plusieurs langues - Recherche/Filtre - Traitement automatique du langage naturel ## Ressources d'aide - Service client/e-mail - FAQ/forums - Base de connaissances - Support téléphonique - Support 24/7 (réponse directe) - Chat ## Category - [Outils de chat avec IA](https://www.capterra.lu/directory/31596/conversational-ai-platform/software) ## Catégories connexes - [Outils de chat avec IA](https://www.capterra.lu/directory/31596/conversational-ai-platform/software) - [Logiciels TALN (traitement automatique du langage naturel)](https://www.capterra.lu/directory/32754/natural-language-processing-%28nlp%29/software) - [Gestion des données](https://www.capterra.lu/directory/31003/data-management/software) - [Logiciels de préparation des données](https://www.capterra.lu/directory/32747/data-preparation/software) - [Logiciels d'analyse de données](https://www.capterra.lu/directory/31077/data-analysis/software) ## Logiciels similaires 1. [ElevenLabs](https://www.capterra.lu/software/1055543/elevenlabs) — 4.7/5 (18 reviews) 2. [inconnect](https://www.capterra.lu/software/164772/omnichannel) — 3.9/5 (19 reviews) 3. [Machine Learning on AWS](https://www.capterra.lu/software/1029661/machine-learning-on-aws) — 4.7/5 (6 reviews) 4. [Persado](https://www.capterra.lu/software/167627/persado) — 4.5/5 (2 reviews) 5. [Centralpoint](https://www.capterra.lu/software/161470/centralpoint) — 4.6/5 (9 reviews) ## Avis ### "Once I used it I realized it was what I'd been dreaming of" — 5.0/5 > **Andrew** | *13 septembre 2022* | Logiciels | Taux de recommandation : 10.0/10 > > **Avantages**: The tedious nuance of clustering and comparing outputs is abstracted away from the engineer who can work more efficiently. It lets you build agents from your chat data at scale revealing customer intents and the relation to your existing model. > > **Inconvénients**: The UI needs some work. It's a little confusing to know which model is active at any given time. Some functionalities are not intuitive. > > The UI challenges are so insignificant in comparison to what HF offers. The HF team are intelligent and kind. The tool works and we are getting value from it. ----- ### "HumanFirst" — 5.0/5 > **Maia** | *6 octobre 2022* | Marketing et publicité | Taux de recommandation : 10.0/10 > > **Avantages**: HumanFirst lets you upload a lot of data then sort through it methodically with the aid of several clustering, filtering and suggestive features. It's made our data labelling process much more efficient, and has guided us while we continue to iteratively improve and extend our models. With HumanFirst, you can quickly put together an oversight of the data and notice groups that might have otherwise been missed. The UI is clean and intuitive though constantly evolving as new features are made available. The HumanFirst team are genuinely receptive to feedback and respond to our suggestions of what we'd like to see in future, as well as helping all team members get familiar with the product and suggesting ways of using HumanFirst tools in use cases that we hadn't considered of before. > > **Inconvénients**: Occasionally there is the odd bug but it's often quickly fixed after we flag it to the HumanFirst team. There are some areas that would be really useful to us that could be developed further (like entity training), but I believe the team is working on this. > > Initially, we used HumanFirst for primarily for intent training, and have trained and continue to refine several classifiers. However, we also recently switched to using HumanFirst as our real-time NLU for our chatbots by integrating it into our bot building tool, and have seen a ~10-20% rise in intent classification since (without any additional retraining). ----- ### "HumanFirst Review" — 4.0/5 > **Jay** | *8 septembre 2022* | Télécommunications | Taux de recommandation : 8.0/10 > > **Avantages**: I love the way that HF can help me identify what customers are searching for by grouping intents. The searches are captured in Zendesk but without a way to organize that information it has little value. Organizing these searches by intent in HF allows me to improve SEO and CTR by adding the intents to the existing articles, and also helps with gap analysis for topics we haven't covered yet. > > **Inconvénients**: I sometimes have challenges with the AI misidentifying topics and clusters but that may just be due to the nature of my business. We work across multiple media and have lots of equipment so the AI sometimes has difficulty identifying what search goes with which product unless the customer specifies it. I don't know if there's a solution to this problem since customers will inevitably make vague searches, but it makes for a lot of dead wood in the searches since I don't want to assign a vague search and mis-train the AI if I incorrectly assume the customer's intent. It may help if I could assign the same intent to multiple articles. For example, when a customer searches for "parental control" I want to make sure they get results for parental control on their Wi-Fi network, and parental control on each of our cable boxes. > > After we boot-strapped the AI by assigning intents to almost all of the articles and added the SEO tags to the articles, we saw an immediate increase in CTR. I know this can be further improved through more gap analysis and intent tagging. I was also able to identify several gaps and write new articles for them, with dozens more on the way. HF's support has always been very helpful with any challenges I have and to try to improve the tool. ----- ### "The tool that turned conversation designers, into NLU designers" — 5.0/5 > **Peter** | *19 septembre 2022* | Vente au détail | Taux de recommandation : 10.0/10 > > **Avantages**: The ability to cluster semantically similar text has been a game changer for us. Rather than trudging through excel spreadsheets looking for similar utterances, we could load tens of thousands of data points into Human First and completely rebuild a failing bots NLU model within weeks (rather than months). The disambiguation feature is also brilliant. Using this, we can better understand why conflicts are arising and fix them. To add to this, now, with the CX integration, we can make these changes knowing they'll work within our DialogFlow bots. A tool like Human First has been like upgrading from MS Paint to Photoshop. Rather than living within spreadsheets, we can apply a more "design thinking" approach to developing our NLU models. > > **Inconvénients**: Being new-ish software, there are sometimes some UI quirks and strange error messages. Due to the size of some of our bots, we have, once or twice, uploaded too much data into the tool, which resulted in some projects having trouble rendering it. However, this has never been a significant issue for us as the development team generally fixes problems within 24 hours. > > The overall experience has been overwhelmingly positive. From a toolset perspective: We can build NLU models extremely fast, disambiguate between intents, and use the tool within our BAU process for continuous improvement. On average, the models that we've used Human First, have about a 10-15% higher F1 score than the previous. From working with them: Human First feels more like a partner. They're deeply invested in our success, which shows with the fast communication, weekly syncs and input that we've had into the product itself. ----- ### "HumanFirst has changed the way we design, build and monitor our bots" — 5.0/5 > **Ali** | *11 août 2022* | Vente au détail | Taux de recommandation : 10.0/10 > > **Avantages**: How easy it is to sort through unlabelled data, cluster and sort to intents. It helps us understand our data better, and very quickly. > > **Inconvénients**: While HumanFirst identifies training conflicts, it doesn't say why things are conflicting. It would be great to have the 'why' as well as the 'what' to create even more efficiency. > > As we have millions of conversations every month, monitoring and getting insight into what our customers are really saying was like a needle in the haystack. HumanFirst gives us quick and efficient insight into how our bots are working, and what needs to be done to fix them. ----- Page : 1/2\ Suivant: [Page suivante](https://www.capterra.lu/software/183859/humanfirst?page=2) ## Liens - [Afficher sur Capterra](https://www.capterra.lu/software/183859/humanfirst) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | ----- ## Données structurées