📌 Gap Analysis Summary
Gap analysis is a method used to compare current performance or outcomes with desired goals or standards. It helps identify what is missing or needs improvement to achieve those goals. By understanding the gap, organisations can plan steps to bridge it and reach their objectives more effectively.
🙋🏻♂️ Explain Gap Analysis Simply
Imagine you want to get an A in a subject, but you are currently getting a C. Gap analysis is like figuring out what you are missing so you can make changes to improve your grade. It is about spotting the difference between where you are and where you want to be, then making a plan to close that gap.
📅 How Can it be used?
Gap analysis helps teams identify missing skills or resources needed to meet project objectives and plan actions to address them.
🗺️ Real World Examples
A retail company wants to improve customer satisfaction scores from 70 percent to 90 percent. They conduct a gap analysis by reviewing current processes, collecting feedback, and identifying areas such as slow checkout times and limited stock availability. This helps them focus on specific improvements to reach their target score.
A software development team compares their current product features with those offered by a leading competitor. Through gap analysis, they find missing functionalities like mobile support and advanced reporting, so they prioritise these features in their development roadmap.
✅ FAQ
What is gap analysis and why is it useful?
Gap analysis is a way to see how far your current results are from where you want them to be. It is useful because it shows exactly what is missing or needs to be improved. This helps organisations focus their efforts and resources on the areas that matter most, making it easier to reach their goals.
How do you carry out a gap analysis?
To carry out a gap analysis, you first look at your current situation and then define what your ideal outcome or goal is. You compare the two to spot any differences or gaps. From there, you can come up with a plan to bridge those gaps, whether that means changing processes, providing more training, or setting new priorities.
Can gap analysis be used outside of business?
Yes, gap analysis can be helpful in many areas beyond business. For example, schools might use it to improve student performance, while individuals can use it to reach personal goals. Anytime you want to go from where you are now to where you want to be, gap analysis can help show the way.
📚 Categories
🔗 External Reference Links
👏 Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
📎 https://www.efficiencyai.co.uk/knowledge_card/gap-analysis
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
AI for Disaster Relief
AI for Disaster Relief refers to the use of artificial intelligence technologies to help predict, manage, and respond to natural or man-made disasters. AI systems can analyse large amounts of data from weather reports, satellite images, and social media to detect early warning signs and track ongoing emergencies. By doing so, AI helps emergency services make faster, more accurate decisions and better allocate resources when every second counts.
Temporal Data Modeling
Temporal data modelling is the process of designing databases or data systems to capture, track and manage changes to information over time. It ensures that historical states of data are preserved, making it possible to see how values or relationships have changed. This approach is essential for systems where it is important to know not just the current state but also the past states of data for auditing, reporting or compliance purposes.
Token Governance Strategies
Token governance strategies are methods used to manage how decisions are made within a blockchain or decentralised project. These strategies determine who has the power to propose, vote on, or implement changes based on tokens they hold or other criteria. They help ensure that a community or group can steer the direction of a project in a fair and organised way.
AI-Powered Benchmarking
AI-powered benchmarking uses artificial intelligence to compare the performance, quality or efficiency of businesses, products or processes against industry standards or competitors. By automating data collection and analysis, AI can quickly process vast amounts of information from multiple sources, revealing insights and trends that would take much longer to identify manually. This approach helps organisations make informed decisions, identify gaps and set realistic improvement goals based on real data.
ESG Reporting Automation
ESG reporting automation refers to the use of software and digital tools to collect, analyse, and report on a companynulls environmental, social, and governance (ESG) data. This process replaces manual data gathering and reporting, reducing errors and saving time. Automated ESG reporting helps organisations meet regulatory standards and share accurate sustainability information with stakeholders.