Hello everyone, and welcome back to the Warhammer Age of Sigmar Metawatch from the Warhammer Studio!
This week, as we eagerly await enough data to properly analyze the impact of the latest Battlescroll (early results look promising), we’ve sent the grots to grab a random selection of questions from the mail bag.
Thanks again to those of you who emailed us – it was really great hearing such a positive response from the community. Please continue to email us any questions about our data, process, or analysis to firstname.lastname@example.org, and we’ll do our best to address your questions in a future installment.
Q: Do you use any qualitative methods to complement the quantitative data that you gather?
A: Yes! Quantitative data refers to numbers and statistics that we can measure, while qualitative data tends to deal with the more human element of words and meaning.
To give a basic example, we might measure that a particular warscroll is overperforming using quantitative data – we can see how many rosters that warscroll is included in, and how many games were won and lost when it was included. We then build a hypothesis for why this might be happening. Is the unit simply too efficient for its points cost, benefitting from a set of synergies, or does it simply serve a particularly useful role?
This is where qualitative data comes in. We have two different external feedback groups – the external playtesting team is mostly made up of talented tournament players who focus their efforts on new rules, while the metawatch advisors group consists of tournament organisers who have a strong grasp on the overall health of the game. These teams help provide valuable insight to ensure that the changes we make are as effective as possible while minimising knock-on impacts.