Step 1 — capture the room clearly
The audit works best when the upload shows the full room, the main window or light source, and the area that feels most wrong. Clear capture matters because poor coverage weakens the reliability of the result.
Audit flow
How it works
Rightlight6 uses a narrow flow: capture the room, structure what is visible, score the room state, then turn that into practical next steps.
This page should explain the flow directly, without dressing it up like another symptom-entry page.
What this page should answer
A useful “how it works” page shows why the output is not just a vague AI paragraph. It should make the input, analysis, and report structure understandable in plain language.
Input
A few room photos or one short room walkthrough.
Read
Daylight reach, glare, layering, comfort cues, and visible damp overlap where relevant.
Output
Scores, top issue, confidence-aware findings, and ranked next steps.
What matters here
Step 2 — structure what is visible
The system turns the upload into a more disciplined room read by separating visible evidence, scoring logic, and the final report layer. That keeps the product closer to a useful room diagnosis than a generic text-generation demo.
Step 3 — return a practical room read
The output should identify the top issue first, show where confidence is stronger or weaker, and prioritise the fastest meaningful change before pushing bigger changes or bigger spend.