Termini del glossario

Glossario dei termini della gestione delle risorse umane e dei benefici per i dipendenti

Indice dei contenuti

AI Survey

AI surveys are transforming the way organizations collect and act on feedback. By combining machine learning, sentiment analysis, and conversational intelligence, an AI survey can analyze responses at scale, personalize questions in real time, and provide actionable insights—far beyond what traditional surveys can achieve. From employee engagement to customer experience, AI surveys are now central to continuous listening strategies.

What is an AI survey?

An AI survey is a digital survey enhanced by artificial intelligence to automate analysis, personalize questions, summarize responses, and generate actionable insights. It goes beyond traditional surveys by using natural language processing (NLP), machine learning, and sentiment analysis to extract deeper meaning from feedback.

Why use AI surveys?

AI surveys save time, eliminate bias, and deliver faster, more accurate results. They analyze open-ended feedback at scale, detect emotional tone, and surface key themes—helping organizations make data-driven decisions with confidence.

Who uses AI surveys?

AI surveys are valuable across departments and industries:

HR professionals use AI surveys to gather employee feedback.
Marketing teams analyze customer sentiment and preferences.
Product managers collect user feedback for feature development.
Executives rely on AI-generated insights for strategic decisions.

When should AI surveys be used?

An AI survey is ideal in situations where feedback needs to be collected consistently, interpreted quickly, and acted upon at scale. They are particularly useful:

During key employee lifecycle events, like onboarding, performance reviews, exit interviews, or internal policy changes.
In customer journeys, right after a purchase, product trial, or service interaction.
In organizational change scenarios, such as mergers, restructuring, or remote work transitions, real-time pulse checks are essential.
In product lifecycle phases, including pre-launch testing, post-release feedback, and ongoing usability studies.

They’re especially effective during onboarding, performance cycles, engagement campaigns, and product launches.

Where are AI surveys deployed?

AI surveys can be embedded seamlessly across various digital channels to meet respondents where they already are:

Email and SMS for direct outreach to employees or customers.
Internal collaboration platforms like Microsoft Teams, Slack, or intranets to gather in-the-flow-of-work feedback from employees.
Web and mobile apps, where users interact with AI surveys as part of product or service experiences.
HRMS, CRM, and customer support tools, where AI survey bots can trigger contextually relevant surveys after specific events or actions.

This omnichannel flexibility ensures high reach, contextual relevance, and timely feedback collection, critical for real-time decision-making.

How do AI surveys work?

An AI survey functions by integrating intelligent systems into the survey process at multiple stages:

Before the survey, AI helps personalize the questionnaire based on role, past behavior, or metadata, making questions more relevant.
During the survey, AI dynamically adapts question paths based on responses, increasing engagement and data quality.
After submission, NLP and machine learning analyze open-ended feedback, detect sentiment (positive, neutral, negative), highlight key themes, and even flag critical issues.
In reporting, AI provides auto-generated dashboards with trend analysis, benchmarking, and actionable recommendations.

Advanced models can even correlate feedback with business outcomes like attrition, satisfaction, or productivity, turning survey data into strategy.

Sondaggi sul polso dei dipendenti:

Si tratta di brevi sondaggi che possono essere inviati frequentemente per verificare rapidamente cosa pensano i vostri dipendenti di un argomento. Il sondaggio comprende un numero ridotto di domande (non più di 10) per ottenere rapidamente le informazioni. Possono essere somministrati a intervalli regolari (mensili/settimanali/trimestrali).

Incontri individuali:

Organizzare riunioni periodiche di un'ora per una chiacchierata informale con ogni membro del team è un modo eccellente per farsi un'idea reale di ciò che sta accadendo. Poiché si tratta di una conversazione sicura e privata, aiuta a ottenere maggiori dettagli su un problema.

eNPS:

L'eNPS (employee Net Promoter score) è uno dei metodi più semplici ma efficaci per valutare l'opinione dei dipendenti sulla vostra azienda. Include una domanda intrigante che misura la fedeltà. Un esempio di domande eNPS è il seguente: Quanto è probabile che raccomandi la nostra azienda ad altri? I dipendenti rispondono al sondaggio eNPS su una scala da 1 a 10, dove 10 indica che è "altamente probabile" che raccomandino l'azienda e 1 indica che è "altamente improbabile" che la raccomandino.