Hypothesis pack
- 0 hypotheses with evidence; 0 labelled estimate.
- Data cited: 0.
Executive Intelligence · Advanced Executive Intelligence
Management Consulting Agent
Applies structured frameworks (for example issue trees and driver trees) to the organisation's verified data.
Demonstration: Wexcombe Retail Group (fictional) · Retail. Fictional data and a scripted answer.
The situation
- Organisation
- Wexcombe Retail Group (fictional)
- Who is asking
- Chief executive
- Industry
- Retail
- What happened
- Same-store sales have flattened and the CEO asks a consulting-style agent for hypotheses to test before hiring a firm.
The question asked
What hypotheses about the flat sales does the data support, and which are only guesses?
What it reads, and who can see the result
- Sales and traffic data exportBy store and week.
- Customer survey summary documentAggregated reasons for visiting or not.
- Reads
- Aggregated sales, traffic and survey summaries.
- Does not read
- Individual customers' purchases.
- Permission
- Commercial analytics access.
- Who sees it
- The CEO and the chief commercial officer.
Try it
Choose which statements go into the brief. A statement with no source is refused; each one you include carries its sources with it.
Hypotheses on flat same-store sales
Choose the statements to include. Each one carries its sources into the brief.
0 of 6 statements included · 2 held back for lack of a source.
The answer
Simulated answer. Written for this fictional case, not produced by a live model. Only the figures in it are computed, from what you decided above.
0 hypotheses are in the pack; 2 were left out because the data does not support them.
The pack states where the data points: fewer visits and fuller baskets, with the fall concentrated near new competitors, and a survey that names range and queues [S1][S2][S3]. Each is a hypothesis to test, with its evidence beside it.
Two popular explanations, the loyalty scheme and the new layout, have no support in this data and are not offered as findings. The recovery estimate is labelled as such. A consultant will ask exactly which of these were tested, and the pack already says.
Relies on: S1 · Sales and traffic, 52 weeksS2 · Customer survey summaryS3 · Competitor opening dates
Review and approval
The chief executive decides. Approving releases the hypotheses to the commercial team to test. It does not commission any work or change any store.
Not ready to approve. Choose at least one supported statement for the brief first.
In the product this is a different person with the right permission. Here you play that role to see the rule.
What it produces
Limits of this example
- Hypotheses are starting points for tests, not conclusions.
- Aggregates hide differences between stores.
- This is a scripted demonstration on fictional data. No model was called and no real organisation, person or result is shown.
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