Product
Mergermarket - MMG
Role
Design Lead
Responsibilities
For over two decades, the Mergermarket deals search platform had seen little to no innovation, relying on an aging codebase that only a handful of developers could navigate. The outdated and overly complex search form had become cumbersome and unintuitive, leading to inconsistent results that eroded user trust in the platform. As a result, users often found themselves running what seemed to be identical searches, only to receive conflicting outcomes, further diminishing confidence in the system.
This gave rise to a opportunity to re-imagine the deals search experience for Mergermarket subscribers by improving the speed and accuracy of a user’s search on a clean and user-friendly interface.
User interviews took place with stakeholders within the business, who had regular contact with Mergermarket subscribers, to get an understanding of the types of searches that users would usually conduct.
Example Search
“Total volumes and values of inbound M&A deals for 2016, 2017 and 2018 and combined 3 year totals in the following European countries: UK, France, Germany, Italy, Spain, Poland, The Netherlands, Russia and Luxembourg where the buyer was not from the same country as the target.”
Differentiate Searches by Role
Most subscriber searches centered on a Role (Target/Buyer), an Attribute (Sector, Geography), and Boolean operators (AND, OR, NOT), but the current search form didn't align with this user’s mental model.
Confusing Interface
A key complaint from users was that the current search form was too long, required excessive scrolling, and users often got lost in the interface.
Search Result Summary
Due to the complexity of search queries, users needed a result summary before running the search, showing Deal Count, Total Deal Value, and Average Exit Multiples. This crucial feature was missing, leaving users unable to benchmark specific deals against market averages effectively, without having to compile a new search from scratch.
Inability to Modify Search Queries
One of the main pain points for subscribers was that the form didn’t save the search parameters, so if the user wanted to modify their search criteria, they were currently ubale to do so and would have to re-enter all search criteria.
15 Mergermarket users based in London, New York, Chicago and Hong Kong. Users were asked a series of questions about the types of deal searches they would perform and their information needs in their given workflow. In the second half, users were presented with the search prototype and asked to complete a series of tasks relating to constructing a series of search queries.
During the initial testing of the search design with users, 40% expressed difficulty understanding where to begin their search, particularly those who don't typically read from left to right. Many users also felt that crucial content was hidden within dropdown menus and expressed a preference for a visible, comprehensive list of search criteria.
To address these concerns, a search index was created and prominently positioned in the UI, allowing users to view a full list of search terms and easily add or remove criteria based on their needs. The main search page was enhanced with pre-populated criteria to guide users, breaking content out of dropdown menus and presenting it clearly. Additionally, the main search page was configured with a default view of the most commonly used search fields, based on user feedback and usage patterns. This, combined with the left-hand index, performed very strongly, with 100% of users able to complete the task in the second round of usability testing.
Increased Productivity - The new deal search allowed the sales and relationship management teams to increase sales and uplift opportunities for both new and existing Mergermarket customers.
Strong Foundations for Future Development - Specific observations and feedback from users allowed the team to triage and prioritise new capabilities and functionality within the deal search experience.
Improved Brand Perception - Clients perception of the platform improved since the launch of the new deal search with many positive drivers of the Net Promoter Score focused around ease of use of the product.
60%
Search Efficiency - improvements in finding deals.
89%
Adoption - users fully migrated in first 12 months.
21%
Increase in NPS score - year-on-year since launch.