This research study explore how data costs and technical issues affect the use of LowDataMode, based on insights from 100 people living in a resource-limited setting. Using chi-square tests and logistic regression, I analyzed how device types, network access, barriers, and platform usability influence LowDataMode use. Results shows high data consumption (41%) as the primary barrier, significantly linked to LowDataMode use (p = 0.023), with marginal significance in regression (p = 0.086). Technical barriers, including lack of affordable devices (28%) and offline learning options (19%), hinder adoption, particularly for shared family device and laptop/desktop users (p = 0.052). 3G users (55%) face greater data cost challenges, while Wi-Fi users (15%) rarely need LowDataMode. Higher platform usability was associated with a greater likelihood of skipping LowDataMode (β = 1.48, p = 0.008), suggesting that intuitive, feature‑rich apps may encourage more data‑intensive activity and thus raise users’ data costs. And, non-significant was technical barriers include network stability (p = 0.315) and technical problems (p = 0.545).
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