Facebook topic data

Project: New product ideation   Client: BIS LexisNexis

I participated in a design sprint to create a high concept prototype which could take Facebook topic data – anonymised by Datasift, a third party vendor – and present key demographics, sentiment, trending topics and keywords for use in analysis, social monitoring and trend forecasting.

This project didn’t advance past the initial prototype I created. News arrived that Facebook was reviewing its topic data policy and so as the business awaited the outcome, the project was put on the back burner. 

One of the key challenges was designing the initial search form. The search form dictated that multiple translations of a given search term could apply; not only English. In order to search accurately across the full dataset, translated keywords were vital. I championed that this should not be the onus on the user to think of this, or to also provide the various translations. For the purpose of testing, I wanted to present a way to automate this process.

Dealing with textual data is the issue of disambiguation. For example, how could the tool help the user perform a search on keyword ‘apple’, as in fruit, AND NOT ‘apple’ as in the company. For the purpose of testing, I added a simple Did you mean method to help facilitate this:

To effectively perform a global search through the data, translations of the search term also needed to be added to the search. But in a simple way that didn’t require users to have to manually add ALL of the translated words:

Another substantial part of the prototype was creating the journey from once a request is initiated, to what the user sees on a dashboard while it is being processed, and how the request manifests itself as visualisations.

First version prototype I presented to stakeholders. Onscreen prompts mimics the desired user journey.

Running alongside of this, I worked with the user researcher to help grow user panels for research and testing sessions. I organised an on-site visit with industry peers whom I had worked with previously. This helped facilitate a view of how some industries constructed their social media analysis and where their challenges lay.