Customer Compass

Market evidence for better informed engineering decisions.

Illustrative example · These assessments are sample inputs, not market research. Start your own project →

Portable water purifier

An evidence-led design decision

Your priorities

Performance characteristicKano surveyCustomer rankCurrent performanceTarget performanceRaw importanceRelative importance

Relative importance

All selected factors will be addressed in the design, including those with a lower relative importance. Relative importance shows where to focus engineering attention. Rank 1 is where to sharpen your pencil: understand what drives its performance, define how to control it, and make sure it is right. Use the order to focus effort while meeting every factor’s design target.

How importance is calculated

Customer rank × ((6 − target rank) ÷ (6 − current rank)) × Kano scale

Must-have or Indifferent
1
Performance / one-dimensional
1.2
All other Kano classifications
1.5

Customer rank uses the engineer’s accepted or modified ranking directly. Current and target performance use 1 = strongest and 5 = weakest. Subtracting each rank from 6 converts it to performance strength before calculating the ratio.

The largest raw importance is relative importance 1, followed by 2, 3, and so on. Equal scores sort alphabetically. Missing inputs remain unranked.

Review evidence
Carry weightAttractive / delighter3215.631
Battery endurancePerformance2323.22
Filtration effectivenessMust-have1412.53

Customer Compass report

Research justification and a focus for the next design step.

Illustrative example

Design focus

The calculated design focus is Carry weight (1), Battery endurance (2), Filtration effectiveness (3). 3 of 3 selected factors have complete inputs.

All selected factors will be addressed in the design, including those with a lower relative importance. Relative importance shows where to focus engineering attention. Rank 1 is where to sharpen your pencil: understand what drives its performance, define how to control it, and make sure it is right. Use the order to focus effort while meeting every factor’s design target.

The order combines the engineer-reviewed customer rank, the target-to-current performance ratio, and the Kano adjustment. It frames the next design discussion; the research below explains the customer priorities and the engineer’s review.

Must-have expectations to retain in the design: Filtration effectiveness.

Next design steps

  1. Frame the next design task around improving Carry weight from rank 2 to rank 1 (1 = strongest). Define an appropriate design requirement from the customer need. Confirm the target with customers.
  2. Frame the next design task around improving Battery endurance from rank 3 to rank 2 (1 = strongest). Define an appropriate design requirement from the customer need. Confirm the target with customers.
  3. Frame the next design task around improving Filtration effectiveness from rank 4 to rank 1 (1 = strongest). Define an appropriate design requirement from the customer need. Confirm the target with customers.

Research justification

These inputs are illustrative. No customer interviews, Kano survey or market research is claimed.

Research synthesis and justification by factor

Research themes

No linked findings available. Review the research before treating the calculated order as supported by market evidence.

1 · Carry weight

Attractive / delighter

3 × ((6 − 1) ÷ (6 − 2)) × 1.5 = 5.63 raw importance. This is position 1 in the calculated order.

The engineer ranks current performance 2 and targets 1 on the 1–5 scale, where 1 is strongest, indicating an improvement to address.

Example assumption: reduced weight adds convenience after core requirements are met.

Sample customer rank for this illustrative example.

2 · Battery endurance

Performance

2 × ((6 − 2) ÷ (6 − 3)) × 1.2 = 3.2 raw importance. This is position 2 in the calculated order.

The engineer ranks current performance 3 and targets 2 on the 1–5 scale, where 1 is strongest, indicating an improvement to address.

Example assumption: longer trips increase the value of operating time between charges.

Sample customer rank for this illustrative example.

3 · Filtration effectiveness

Must-have

1 × ((6 − 1) ÷ (6 − 4)) × 1 = 2.5 raw importance. This is position 3 in the calculated order.

The engineer ranks current performance 4 and targets 1 on the 1–5 scale, where 1 is strongest, indicating an improvement to address.

Example assumption: core treatment performance is essential to the product's purpose. Validate with testing and customer research.

Sample customer rank for this illustrative example.

The report uses the same calculation as the table. Download it as a standalone HTML document to attach to the project or print to PDF. Saved matrix inputs and evidence recreate the report when you return.

Evidence behind the decision

Illustrative assumptions. No market research is claimed for this example.

Filtration effectiveness0 research revisions

Engineer’s decision: No reviewed reasoning recorded.

Legacy rationale: Example assumption: core treatment performance is essential to the product's purpose. Validate with testing and customer research.

Engineer notes: Illustrative assessment only.

Battery endurance0 research revisions

Engineer’s decision: No reviewed reasoning recorded.

Legacy rationale: Example assumption: longer trips increase the value of operating time between charges.

Engineer notes: Illustrative assessment only.

Carry weight0 research revisions

Engineer’s decision: No reviewed reasoning recorded.

Legacy rationale: Example assumption: reduced weight adds convenience after core requirements are met.

Engineer notes: Illustrative assessment only.

Changes to this example last only for this visit.