Evidence before treatment
JPS 2022-aligned moisture investigation
DampApp Pro is designed around the principles in the Joint Position Statement on investigating moisture in traditional buildings: inspect holistically, identify the root cause, respect permeable fabric, and recommend proportionate work without commercial bias toward a treatment.
What this means in the app
Investigate the whole building
Record construction, exposure, occupancy, ventilation, heating, external defects and moisture patterns before selecting a diagnosis.
Follow the evidence
Do not default to rising damp or infer salts and hidden defects from an unclear photograph. Record uncertainty and recommend further investigation where needed.
Treat causes before symptoms
Prioritise proportionate maintenance and source control. Traditional permeable fabric should not receive an impermeable treatment simply because moisture is present.
AI assistance with explicit limits
- AI wording must state when evidence is inconclusive or visibility is limited.
- Rising damp is not treated as a default diagnosis, and salt contamination is not inferred without visible evidence.
- The surveyor remains responsible for inspection, diagnosis, edits and the final signed report.
Questions about JPS alignment
What is the Joint Position Statement on moisture investigation?
It is cross-industry guidance, supported by bodies including RICS, Historic England, the Property Care Association and the SPAB, on the principles and competencies needed to investigate moisture and its effects in traditional buildings. It promotes a holistic, evidence-led diagnosis before remedial work is specified.
Is DampApp Pro certified or endorsed by the JPS authors?
No. DampApp Pro is not presented as certified or endorsed by the organisations behind the statement. Its damp-analysis and report-writing prompts are designed to follow the statement’s evidence-led principles.
How does DampApp Pro reduce treatment bias?
The workflow asks the surveyor to record observations, context and alternative moisture mechanisms. AI instructions explicitly avoid selling services, discourage default rising-damp diagnoses, and favour proportionate interventions supported by evidence.