What The Athletic users actually want
Mimir analyzed 15 public sources — app reviews, Reddit threads, forum posts — and surfaced 8 patterns with 6 actionable recommendations.
Top recommendation
AI-generated, ranked by impact and evidence strength
Add live scoreboard with real-time updates and push notifications for WNBA and underserved leagues
Rationale
One source showed all WNBA game scores displaying as 0-0, suggesting either incomplete real-time data infrastructure or pre-season placeholder content that was never replaced. This is a critical gap because live score updates are table stakes for sports media retention—users check scores during games, and if The Athletic doesn't provide them, users go elsewhere and may not return.
The issue appears isolated to specific leagues (WNBA mentioned, possibly others), which means existing college basketball and football score infrastructure could be extended. Four sources show completed game scores functioning properly for NCAAM/NCAAW/NCAAF, so the technical capability exists. The gap likely reflects prioritization rather than technical constraints.
If users can't rely on The Athletic for live scores across all covered sports, they'll use ESPN or another aggregator as their primary destination, reducing engagement with your editorial content and discussion features. Real-time scores are the hook that brings users back during games—the moment when subscription value is highest.
More recommendations
5 additional recommendations generated from the same analysis
Four sources show detailed player statistics (PPG, PER, shooting percentages, assist-to-turnover ratios) presented as raw tables without interpretation. Users see that Nirah Clark averages 12.4 PPG with a 13.83 PER, but have no context for whether that's elite, average, or disappointing for her position and conference. Product managers and engineering leads—your target users—are analytically sophisticated, but they still need quick reference points to evaluate talent without manual cross-referencing.
Discussion links exist on game pages, but there's no evidence of participation tracking, comment volume measurement, or analysis of what drives conversation. You're operating a community feature blind—unable to answer whether discussions happen more for close games, rivalry matchups, upset wins, or controversial calls. For a subscription product where retention is the primary metric, understanding what makes users talk to each other is foundational.
Air Force football stats reveal a run-heavy offense with the quarterback carrying 190 times for 922 yards while the top receiver has only 35 catches across 12 games. These patterns tell a strategic story—Air Force runs a triple-option or similar ground-based scheme—but users must infer it from raw numbers. Your audience includes product managers and engineering leads who appreciate analytical depth, but they're not spending 15 minutes reverse-engineering offensive philosophy from stat tables.
Four sources show team records displayed alongside upcoming games—users see Miami Ohio at 27-0 facing Saint Louis at 25-2, or Buffalo at 2-24 playing a conference rival. Records provide some context, but users still can't quickly assess whether a game will be competitive or a blowout. Your users are time-constrained—they need help prioritizing which games warrant attention.
Three sources show stark playing time disparities—Alabama basketball has four starters averaging 8.9-16.6 PPG while bench players contribute 0.7-3.1 PPG, Abilene Christian has eight roster members with minimal contributions. This data exists but isn't interpreted. Users don't know whether thin benches create injury vulnerability, whether starters are overworked and likely to fade late-season, or whether young bench players are developing into future contributors.
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