Decision-Making Insights

This section presents business actions, derived from the analysis on this page.

Feature Attention

This visualization identifies features that are likely to be ignored by respondents during decision-making. The importance threshold (1% to 20%) can be set using the slider (top left).
Based on the selected importance threshold:

• Blue bars indicate features that influence decisions.
• Grey bars indicate low-impact features.

Feature Importance

This visualization displays how features rank in importance when evaluating the product or service.

Feature Level Importance

This visualization displays how feature levels compare in importance.

Important note:
The most effectful levels per feature are marked as a 'triangle'.
The colors tell us how confident we are about each level's impact:

• Levels in 'Blue' show a clear positive effect (we're 95% confident about this)
• Levels in 'Red' show a clear negative effect (we're 95% confident about this)
• Grey levels mean we don't have enough support from the data to determine their impact either way

Willingness-To-Pay

This visualization describes the additional price respondents are willing to pay for the corresponding feature level.

• Positive values indicate the amount individuals are willing to pay above the baseline price for the current feature level.
• Negative values suggest that individuals actually require compensation or a price reduction to accept the current feature level.

Configuration Help

This section allows you to configure your market simulation:

• Number of Scenarios: Select how many product scenarios you want to analyze (2-5 scenarios)
• View Recommendations for: Select a scenario you'd like to view suggested improvements for

Scenario Simulation Help

This section allows you to design your product scenarios for market analysis:

• 'Attributes' sidebar on the left lists all the features
• Each column to the right represents a different product scenario you want to test in the market
• You can either use the pre-loaded real-world products or customize any feature
• Once you've set up your product scenarios, click 'Analyze Scenarios' to see how they would compete against each other in the market
• Click 'Reset to Default' to return to pre-loaded real-world examples

Scenario Simulation Help

This section allows you to design your product scenarios for market analysis:

• 'Attributes' sidebar on the left lists all the features
• Each column to the right represents a different product scenario you want to test in the market
• You can either use the simulator's suggested default features or customize any feature
• Once you've set up your product scenarios, click 'Analyze Scenarios' to see how they would compete against each other in the market

Recommendation Help

This section provides you with suggestions on how to further improve the market presence of the selected product scenario. Note:

• The current suggestions are based on the scenario selected in the 'View Recommendations for' dropdown. This selection can be can updated in 'Configuration Options' section.
• If you see 'Optimal levels are already selected.', the selected product scenario has reached its full market potential, and the expected share can't increase any further.

Insights Help

This section provides data-driven analysis and actionable recommendations based on the simulation results:

• The insights analyze patterns across all sections including market share and revenue projections, opt-out behavior
• The insights are dynamically updated whenever you modify product scenarios or run a new analysis

Expected Share & Revenue Help

This section displays market share analysis results through two key visualizations:

• The pie chart on the left shows the expected market share distribution among competing product scenarios. The 'Opt Out' portion (if present) represents the percentage of customers who would choose none of the available options
• The revenue chart on the right presents the projected revenue for each product scenario, assuming a market of 1,000 buyers
• Below the visualizations, you'll find data-driven analysis insights that interpret the results and highlight key findings

Value Creation Help

This section displays the monetary value created by product feature changes:

• Green bar: Value gained by upgrading to the highest-valued level for the feature
• Red bar: Value lost by downgrading to the 2nd highest-valued level for an already-optimized feature

Efficient Frontier Help

This section displays the search for the optimal product (Scenario) configuration to maximize revenue or share:

• Each line is one product plotted across different price points.
• Small dots are all possible price configurations.
• Large pink dots are the "best" price points — the ones that represent the optimal trade-off between revenue and share.

Expected Share Help

This section displays market share analysis results through a key visualization:

• The pie chart shows the expected market share distribution among competing product scenarios. The 'Opt Out' portion (if present) represents the percentage of customers who would choose none of the available options
• Below the visualization, you'll find data-driven analysis insights that interpret the results and highlight key findings

Price Response Analysis Help

This section shows how the market responds to price changes while keeping all other features constant:

• Demand & Revenue Tab: The left graph shows how demand (market share) per product scenario changes as its price increases or decreases. The right graph translates demand into revenue projections. The results are based on an assumption of having a market of 1,000 buyers
• Elasticity Tab: Price elasticity is a measurement of how demand is affected by changes in price. This tab displays a table of price elasticity classifications for each product scenario

Configuration Help

This section allows you to configure your mindset analysis:

• Number of Mindsets: Select how many mindsets/groups you want the respondents to be divided into

Configuration Help

This section allows you to configure your mindset analysis:

• Number of Mindsets: Select how many mindsets/groups you want the respondents to be divided into