Train commute
Ticket price vs platform wait — ratings conjoint with market share simulation.
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Ticket price vs platform wait — ratings conjoint with market share simulation.
Monthly price vs delivery speed — fictional roastery with share simulation.
Nightly rate vs distance to center — short-break hotel trade-offs.
Monthly fee vs ad load — fictional streaming tiers with share simulation.
5-attribute phone study — ratings and purchase ranking on a shortlist.
5-attribute laptop study — ratings and catalog ranking.
Panel market share — current market, modified product, and new entrant scenarios.
E-bike price vs battery range — ratings conjoint with share simulation.
MSRP vs fuel economy — vehicle configuration ratings with share simulation.
Ticket price vs platform wait — ratings conjoint with market share simulation.
Monthly price vs delivery speed — fictional roastery with share simulation.
Nightly rate vs distance to center — short-break hotel trade-offs.
Monthly fee vs ad load — fictional streaming tiers with share simulation.
5-attribute phone study — ratings and purchase ranking on a shortlist.
Panel market share — current market, modified product, and new entrant scenarios.
E-bike price vs battery range — ratings conjoint with share simulation.
MSRP vs fuel economy — vehicle configuration ratings with share simulation.
5-attribute laptop study — ratings and catalog ranking.
One respondent weights several options. Both studies express preference from rated profiles — Train commute also shows how those weights split as percentages across a fixed choice set; Blueberry phones ranks catalog items by predicted preference.
Smooth split: stronger options attract more preference; results look like realistic percentage splits.
Head-to-head split: each option's share reflects how often it beats others one-on-one — rankings are often similar, percentages differ.
Several respondents — choose a scenario, then see how choices distribute across the panel.