Amber by inFeedoEmployee engagement AI Tool
Engage & enable your workforce with Conversational AI & People Science.
Engage & enable your workforce with Conversational AI & People Science.
Overall
Average of 1 data signal below
3 of 4 content areas filled (features, FAQs, pros/cons, description)
This score is calculated automatically from this listing's available data (community rating, capabilities, pricing transparency, and documentation). It is not a paid or sponsored review.
Pricing & Model
freemium
Open Source & API
Proprietary
No Public API
Foundational Model
Proprietary Engine
Key Integrations
Web App Only

Common queries about Amber by inFeedo answered
Amber by inFeedo is a conversational AI bot designed with a focus on engaging employees in intelligent dialogues. It plays a formidable role in determining employees who are unhappy, disengaged or on the verge of leaving the organization.
Amber works by engaging employees in interactive discussions and analyzing their responses. It is built with robust AI algorithms that comprehend the intent behind employees' responses and accordingly shapes its interactions. Through conversations, it gathers feedback and analyzes patterns in order to predict potential attrition. The AI also helps resolve feedback on a large scale and generates analytics for further action.
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How Amber by inFeedo stacks up against top competitors
| Feature | Amber by inFeedo | Digha | DEX Insight | GoProfiles |
|---|---|---|---|---|
| Rating | — | ★ 3 | ★ 3 | — |
| Pricing Model | freemium | paid | paid | freemium |
| API Access | No | No | No | No |
| Open Source | No | No | No | No |
| Link | Visit Website | Visit Website |
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The primary functions of Amber by inFeedo are employee engagement, feedback collection, and sentiment analysis for the purpose of identifying disengaged or unsatisfied employees. Along with these, it also covers attrition prediction, feedback resolution, routing complex inquiries and maintaining internal app access for employees.
Amber identifies dissatisfied employees by actively engaging them in conversations and analyzing their responses. It uses Artificial Intelligence to understand the sentiment behind the responses and identifies patterns that might suggest the employee is unhappy, disengaged or considering leaving the organization.
Amber by inFeedo utilizes Artificial Intelligence specifically Machine Learning and Natural Language Processing algorithms. These are used for sentiment analysis, problem-solving, and understanding and acting upon employee feedback.
Amber by inFeedo safeguards user privacy by the use of cookies on its website. Users have the option to disable tracking if they wish to, thus promoting a privacy-centric user experience.
Alongside Amber, inFeedo offers solutions like an engagement platform that helps organizations boost employee sentiments, an AI helpdesk that automates employee support, and people analytics software that gives meaningful insights and actionable data. They also offer People Science Advisory services which provide expert consultancy for real-time problems.
Amber by inFeedo conducts sentiment analysis with an accuracy rate of 95%. It also indulges in problem-solving analysis and presents engagement analytics to understand and act on employee feedback.
The sentiment analysis performed by Amber by inFeedo claims an accuracy rate of 95%. This high level of accuracy results from the utilization of proprietary Machine Learning and Natural Language Processing engines.
The 'AI Assist' component of Amber by inFeedo is created to provide instant and constant employee support. The support involves freeing HR resources from handling repetitive queries and optimizing internal app access for employees.
Yes, Amber by inFeedo can handle complex inquiries. The AI Assist feature is programmed to route complex enquiries to the appropriate agents, thus ensuring all queries are addressed effectively.
Amber by inFeedo, through its AI Assist function, can route complex queries to the appropriate agents. This helps to streamline the process of query resolution, ensuring that the appropriate assistance is provided to resolve the matter at hand.
The People Science Advisory by inFeedo includes on-demand expert consultancy and an in-house panel of industrial-organizational psychology experts. This service is aimed at providing expert advice and solutions to real-world problems faced by organizations.
Yes, Amber by inFeedo, under its People Science Advisory, offers on-demand expert consultancy service to help organizations deal with real-time problems. This can include expert advice and strategies based on deep insights and actionable data.
The engagement analytics provided by Amber by inFeedo cover aspects such as continuous listening, pulse surveys, and handling of exit surveys. It provides insights into employee engagement and satisfaction through quantitative and qualitative analysis of data gathered.
Amber by inFeedo assists in feedback resolution by analyzing employee feedback and sentiment, predicting possible attrition, and acting on the feedback at a large scale. It uses continuous engagement to enhance sentiment and consolidate action on feedback.
Amber by inFeedo is trusted and utilized by many industry leaders, implying a large user base. However, the exact scale of the user base is not provided.
Amber by inFeedo is trusted by industry leaders, which suggests a high return on investment for its users. Relief in HRBP hours, successful employee engagement, and resultant savings all add up to ROI. However, specifics on the actual figures are not disclosed.
Amber by inFeedo's conversational AI enables reliable automation and sentiment analysis with 95% accuracy. It integrates an engagement platform that helps organizations understand and boost employee sentiment as well as a helpdesk that automates employee support. The People Science facet lends consultations by experts, a research-backed employee experience framework and people analytics software.
Yes, Amber by inFeedo can help with attrition prediction. Using data collected from conversations and employee feedback, it can identify patterns that may indicate an employee is considering leaving the organization. This allows companies to take proactive steps to improve employee satisfaction and reduce attrition rates.
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