Introducing fiibac

How many times have you been promised feedback and never received it?

If you have received feedback before, how long have you had to wait?

Is the feedback up to date and based on your latest performance?

We live in a busy world and the truth is, nobody has the time to give feedback any more. Laborious writing and collating of notes followed by organising and arranging one-to-one meetings is simply not time efficient. UNTIL NOW!

About fiibac

An online intelligent feedback system which is a sophisticated software application designed to collect, analyse, and provide valuable feedback to users in various contexts, such as education, sport, the workplace, and more. This system delivers a near frictionless interface to enable assessors to input data, producing a balanced score card that creates a standardised Fiibac score. This score can then be used to gauge performance across multiple fields.

Fiibac has been created by leading business, sports and academic indviduals who are frustrated at the lack of feedback, or the regular box ticking exercise that the traditional appraisal system deliver.

Data Collection: We have created a haptic driven interface, and worked with leading professionals to create a range of relevant metrics to the particular arena, and core areas of competence and mental agility that are common requirements across all areas.

Feedback Analysis:

Machine Learning Models: AI and machine learning models are employed to automate feedback generation. These models can include:

Dashboard and Reporting: The system offers a user-friendly interface for administrators and users to access feedback data, visualisations, and reports. This enables stakeholders to track performance and make informed decisions.

User Engagement: Online intelligent feedback systems may engage users through various channels like web interfaces, mobile apps, email, chat, or social media, making it easy for users to provide feedback.

Privacy and Security: Robust security measures are implemented to protect user data and ensure compliance with privacy regulations.

Customisation: The system can be tailored to specific industries or use cases, allowing for customisation of feedback criteria, response templates, and reporting metrics.

Integration: It can integrate with other systems, such as customer relationship management (CRM) software, learning management systems (LMS), or e-commerce platforms, to enhance the overall user experience.

Feedback Loop: Users receive feedback and recommendations based on their interactions, enabling them to make informed decisions, improve their performance, or resolve issues effectively.

In summary, an online intelligent feedback system leverages data analysis, AI, and machine learning to collect, process, and provide valuable feedback to users. It enhances user experiences, helps organisations make data-driven decisions, and fosters continuous improvement in various domains