Trend Analysis is a method of observing the direction of a market, an audience group, competitors, or price movements from geographical, behavioural, and social perspectives, etc. It is used to forecast future market change and understand what trends (at a macro or industry level) could influence our products & services, customers’ choices, and business strategy.
Identifying trends internally and externally helps companies spot potential threats and opportunities. So that we take action to prevent failures and make the most use of discovered opportunities in the market. In the product space, applying trends to designing a solution that would fit into the future world is beneficial. We could also use this to understand the big picture and ask better questions in customer research to identify relations/impacts to them.
Trend Analysis can be used to internally analyse the status quo and understand patterns to resolve existing problems. However, it is also useful when we want to discover new opportunities to improve our products, create new business models and reshape strategies.
1. Identify the most critical research areas and keywords first. In which market/sector are our customers? What focus areas are most important to us? For example:
2. Start your research online with different keywords. There are some standard methods to look for trends:
3. Collect information on a Miro board and cluster it into different categories. Prioritise the most relevant trends and share them with the team, discuss how this impacts our actions and products, and what these trends mean to us.
Do's
We conducted a quick market trend analysis when researching the seawater desalination market. Then, we included those trends in our customer interviews to understand further how they influenced their decision-making and what opportunities we can seize today.
Turning into customer interview questions:
Users can utilize data analysis tools to collect and classify extensive information, presenting it in one place and various formats through visualization techniques.
Tip & Tricks:
Read More:
How To Use ChatGPT For Data Analysis: What Organizations Need To Know
Key Steps Tutorial
Sample Prompt:
Sample Prompt:
Other Inspirational Tool:
Bard
While Bard-QA is specifically tailored for question-answering tasks, ChatGPT is a more versatile model that can engage in interactive conversations.
Quid
Streamlines data collection by leveraging natural language processing and machine learning algorithms to analyze and visualize unstructured text data, facilitating insights from large datasets