Value Hypothesis Tracking is the practice of regularly checking whether the assumptions about how a product or feature will deliver value to users are correct. It involves setting clear goals for what success looks like, collecting data on user behaviour, and comparing the results to the original expectations. By doing this, teams can quickly see…
Category: Data Science
A/B Testing in Business
A/B testing in business is a method where two versions of something, like a website or marketing email, are shown to different groups of customers to see which version performs better. This approach helps companies make decisions based on actual customer behaviour rather than guesswork. By comparing outcomes, businesses can choose the option that leads…
Hypothesis-Driven Experimentation
Hypothesis-driven experimentation is a method where you start with a specific idea or assumption about how something works and then test it through a controlled experiment. The goal is to gather evidence to support or refute your hypothesis, making it easier to learn what works and what does not. This approach helps you make informed…
Business SLA Breach Analytics
Business SLA Breach Analytics refers to the process of examining and interpreting data related to missed Service Level Agreements (SLAs) in a business context. It involves tracking when a company fails to meet agreed standards or deadlines for services delivered to customers or partners. By analysing these breaches, organisations can identify patterns, root causes, and…
Productivity Analytics
Productivity analytics involves collecting and analysing data to understand how work is completed, how efficiently resources are used, and where improvements can be made. This process uses various tools and metrics to track tasks, time spent, and outcomes across teams or individuals. The goal is to identify patterns, bottlenecks, and opportunities to make workflows smoother…
Inclusion Metrics in HR
Inclusion metrics in HR are ways to measure how well a workplace supports people from different backgrounds, experiences and identities. These metrics help organisations understand if all employees feel welcome, respected and able to contribute. They can include survey results on belonging, representation data, participation rates in activities and feedback from staff.
Bias Mitigation in Business Data
Bias mitigation in business data refers to the methods and processes used to identify, reduce or remove unfair influences in data that can affect decision-making. This is important because biased data can lead to unfair outcomes, such as favouring one group over another or making inaccurate predictions. Businesses use various strategies like data cleaning, balancing…
Performance Dashboards
Performance dashboards are visual tools that display key data and metrics to help people quickly understand how well something is working. They bring together information from different sources, showing it in charts, graphs, or tables for easy monitoring. By using these dashboards, individuals and organisations can track progress, spot problems early, and make informed decisions…
Sentiment Analysis for Support
Sentiment analysis for support uses computer programs to determine if messages from customers are positive, negative or neutral. This helps support teams understand how customers feel about their products or services. By analysing large numbers of messages, companies can spot trends, react to problems early and improve the customer experience.
Workforce Analytics
Workforce analytics is the process of collecting, analysing, and interpreting data about employees and workplace trends to help organisations make better decisions. It uses information from sources like attendance records, employee surveys, and performance data to identify patterns and areas for improvement. By understanding this data, companies can improve hiring, boost productivity, and retain valuable…