![](/images/ORS/Volunteering/ProBono/Pro-Bono-case-studies/bubhub%20image.png)
The Approach
The current set-up for KPIs, and the company’s objectives, were reviewed. A Driver Tree was created (in collaboration with BuddyHub) to document the key objectives and their drivers. A Balanced Scorecard process was then used to select what should be measured.
The end-to-end process for matching Members with Buddies was captured with a series of workshops and step tables.
A rule based algorithm was developed to match Members and Buddies, incorporating aspects of machine learning and heatmaps, this incorporated: filtering and weighted features.
Software BuddyHub currently uses was compared based on features and cost via a literature search of previous comparisons (thus not being hampered by the biases of the author).
Example code was developed to calculate travel times, overcoming an existing issue with BuddyHub’s ‘Ops Board’. A review of this, and the general data set-up, was undertaken to create a data roadmap.
Headlines are that we’re delighted with what the project has delivered and the volunteers have been an absolute pleasure to work with (both working above the expected time on the project).
Catherine McClen, Founder and CEO.