The average hides the gap
Availability, placement, advice and experience vary significantly by location, while central reporting makes them look similar.
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Scoutsss identifies where a location differs from its peer group and checks the cause on site.
This does not become a performance rating of teams or partners: no names, no visit quotas, no personal assessment. The focus is the untapped opportunity at the location, rather than the person working there.
The network average looks solid, while individual locations are slipping. Central metrics reveal problems late and rarely explain the cause. Scoutsss exposes the gap beneath the average.
Availability, placement, advice and experience vary significantly by location, while central reporting makes them look similar.
Visits follow familiar routes, which do not necessarily lead to the location with the greatest opportunity.
Briefed and paid for centrally, but rarely does anyone confirm at each location whether the measure is in place and having an effect.
The free snapshot provides an initial assessment with stated confidence and shows where a deeper on-site diagnosis makes sense next.
The snapshot ends with a sequence of priorities and three checks to carry out, beyond a number.
Choose your perspective: the text, examples and your snapshot adapt.
Network metrics hide local deviations. Three roles, three questions about the same gap.
Make local experience and execution gaps visible before they appear in the figures. The network average hides precisely the locations that are slipping.
“Which stores are deviating, and can we see it before the figures show it?”
Prioritise store visits, coaching and measures rather than following routes and habits.
“What evidence do we show when someone asks why this store comes first?”
Understand what strong locations do differently and transfer those patterns to comparable formats.
“What do our strongest locations do differently, and can we transfer it?”
Four steps. The third is the most important: on-site research confirms the hypothesis, or disproves it.
Aggregated public customer signals show where things change, over quarters rather than as a single snapshot.
Neutrum.ai normalises signals, compares them with an anonymised group and identifies the likely cause.
Scoutsss checks the hypothesis at the location and disproves it when it does not hold. Only then does an assumption become a finding.
The finding becomes a sequence of priorities with a concrete check for the team and stated confidence.
A convenience store at a station fulfils a different job from a suburban supermarket. Scoutsss therefore considers location, format and purchase moment when comparing sites.
Catchment area and context determine what good performance means at this location.
Comparisons are only made within an anonymised group with the same format and competitive environment.
Immediate consumption in transit, a weekly shop under time pressure, a considered choice with advice: each moment places different demands on the shelf.
The Swiss Retail Index on swissretailsignal.ch is the public external framework for sectors, formats and regions. Scoutsss places your locations in this framework, against an anonymised peer group in the same competitive environment.
Illustrative example. Benchmark values come from the Swiss Retail Index and location values from on-site research. All values are proprietary indicators, rather than objectively measured third-party metrics. The peer group is always anonymised.
A blind spot becomes costly when a decision is due. That is when the snapshot pays off.
No. It assesses the customer experience and execution at the location, rather than the work of individuals. There are no names, personal review texts or employee visit quotas.
Nothing. The snapshot is free and without obligation. Charges only apply to deeper on-site research or ongoing monitoring, and only if you want it.
From three separate levels: aggregated publicly accessible customer signals (observation), modelling by Neutrum.ai (hypothesis) and structured on-site research by Scoutsss (validation). Every statement states its evidence level.
No. Information about your network or channel is sufficient for the snapshot. First-party data such as sales, footfall or loyalty is only included with explicit permission.
The snapshot arrives by email within a few days. Deeper on-site research delivers findings in a few weeks, rather than quarters.
Then the location appears as an open question rather than a priority, and we make that explicit. No score is communicated when confidence is low.
Yes. Only aggregated patterns are analysed, with no personal data or original review texts. The operator is DiALOGiFY AG in Switzerland.
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