Jeanine Mason voices Eva in WondLa, which is based on Tony DiTerlizzi’s bestselling book series, The Search for WondLa. The seven-episode second season is now streaming on Apple TV+.
This futuristic coming-of-age story follows 16-year-old Eva 9 as her epic journey continues and she uncovers startling truths about her past and the world she calls home. Picking up from season one’s shocking cliff-hanger, Eva is drawn toward the promise of home — but new discoveries only lead to more unanswered questions. As she searches for the truth, Eva finds herself pursued by a relentless force that believes she holds the key to something far greater than she ever imagined. In a season brimming with revelations, sacrifice and an existential fight for survival, Eva must choose where she truly belongs.
“It really lets me go on a slow burn journey, which I loved. We were so conscious about what are the ways, even in vocal quality, that we’re aging her up in season two, and that we’re honoring that she has learned so much since she emerged from that bunker,” she explained, reflecting on how the story is split into three parts. “She has lost her mother, she knows what’s at stake now, and could she handle losing another member of her precious found family? So it just meant that I got to have more storytelling tools at my disposal, and I’m just so proud to be in this company of people who take programming for young people so seriously and don’t want to put gloves on it. They’re like, ‘We have to show them the truth of it all because this might be an otherworldly world, but it is the same situations, circumstances, and conundrums that they are going to encounter in their own life here on Earth.’ So, I’m just really proud of the commitment to excellence in storytelling from this team.”
I caught up with the actress to discuss how this project continues to be one of the most meaningful things she’s done in her career, the trilogy’s slow burn journey, how her character inspires her, and her transformation in season 3.
Watch my interview below:
