RateUp Documentation
Web forms

Responses & Results

Reading individual responses, analysing the whole set, and exporting the data.

Three tabs cover what came back: Responses for individual submissions, Analytics for the picture across all of them, and Team Analytics to compare the same results between teams.

Survey analytics

Responses

Every individual submission, with its answers, timestamp and any URL tags it carried.

Read these when you need the detail: a specific complaint, a lead's contact details, the wording someone used.


Analytics

Happiness Index

An overall satisfaction score across responses, from Poor through Okay, Good, Great and Excellent.

NPS breakdown

Net Promoter Score responses split three ways:

GroupScoreMeaning
Promoters9–10Will recommend you
Passives7–8Satisfied but not enthusiastic
Detractors0–6Unhappy, and may say so

Passives are the opportunity. Promoters already advocate and detractors are a rescue job; passives are the group closest to becoming promoters if you find out what is missing. Use a logic jump to ask them specifically.

Per-question charts

Each question gets its own visualisation — distributions for choice and rating questions, response listings for free text.


Team Analytics

The same result set, compared between teams — useful when several branches or departments run the same form and you need to know which is ahead.


AI Summaries

FeatureProduces
Generate Summary by AIA written summary of the responses
Generate Team wise summaryThe same, broken down by team
Large Text SummaryA digest of long free-text answers

This is most valuable on free text, where hundreds of paragraphs are otherwise unreadable.

Treat a summary as a starting point, not a finding. Read a sample of the raw responses before acting — a summary smooths over exactly the sharp, specific complaint you most needed to see.


Exporting

FormatUse
Excel / CSVAnalysis elsewhere
Export to PDFA shareable report
Google SheetLive sync to a spreadsheet

Exports contain whatever respondents told you, including contact details. Treat them as personal data.

Filter before exporting — by team, date or response content — rather than exporting everything and trimming later.


Acting on Results

A survey nobody acts on trains customers not to answer the next one.

SignalAction
Detractor responseFollow up personally — see Automations
Repeated complaint about one thingFix the thing; the survey has done its job
PromotersAsk for a Google review or a testimonial
Falling response rateThe form is too long, or you are asking too often

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