This study investigates whether short-term, single-location indoor environmental monitoring can support the assessment of condensation-related damp risk in residential buildings. Focusing on nine homes previously confirmed to have condensation damp, the research uses data collected over a 24-h period through smart thermostats that record temperature, relative humidity, and external weather conditions. The study first examines whether sensor data can indicate condensation risk through comparisons with dew point and humidity thresholds. It then analyses whether such data evaluate of the relationship between indoor conditions and outdoor climate using polynomial regression. Findings highlight significant variability in indoor environments between houses and weak correlations between internal and external humidity, suggesting a potential role of internal moisture sources. The results also point to limitations in the ability of single-point monitoring to capture localised condensation-prone areas such as cold surfaces or poorly ventilated zones. This raises important considerations for the diagnostic value of simplified monitoring strategies in damp risk management. While single-sensor approaches may offer initial insights into general indoor climate conditions, they are insufficient to fully characterise the complex, localised dynamics that contribute to condensation.