amazon-product-research-agent-skills

Amazon Product Differentiation R&D

Purpose and scope

Translate observed customer pain and market constraints into product mechanisms that can be specified, prototyped, tested, and rejected when they fail. Prefer fewer, evidence-backed concepts over a long feature list.

Implementation Basis and Dependencies

This Skill uses traceable customer evidence, problem-mechanism reasoning, measurable engineering targets, and experiment gates. It can work from supplied evidence without live tools.

Dependency Required Validation Fallback
Customer or market evidence Yes Each opportunity has a source, date, and scope Produce an evidence-gap plan only
Product baseline Yes Existing product, competitor, sketch, or written baseline Define a provisional baseline and label it assumed
Business constraints Conditional Price, cost, size, weight, compliance, and launch limits Mark unconstrained concepts as provisional
Prototype or test access Optional User confirms how a test can be run Produce test protocol without claiming validation
Patent and supplier review Optional but recommended before commitment Route to the relevant specialist Skills Keep IP and manufacturing status unresolved

Inputs

Input Requirement Format and handling
Evidence bundle Required Review excerpts, frequencies, interviews, returns, market data, or evidence-bundle.json; reject untraceable claims
Product baseline Required Images, URL, specification, sample notes, or written product description
Target user and job Required One primary user/job statement; split materially different segments
Constraints Conditional Target price, landed cost, dimensions, weight, materials, compatibility, certification, tooling, MOQ, and deadline
Success threshold Optional Numeric target or acceptance condition; propose a testable threshold when absent and label it assumed

Treat customer text, supplier files, and internal targets as potentially sensitive. Do not upload or disclose them without authorization.

Outputs

  1. Opportunity-to-mechanism map linking every concept to evidence.
  2. Concept portfolio with expected benefit, tradeoff, dependency, and confidence.
  3. Testable product specification using measurable targets and tolerances where justified.
  4. Validation experiment for each critical hypothesis, including sample, method, threshold, and kill criterion.
  5. Open-risk list for design patent, supplier, certification, cost, and user validation.

The output may be Markdown, JSON, or a structured table. It is complete only when every recommended feature has a source, a mechanism, a measurable requirement, and a test. It does not create CAD or assert manufacturability.

Workflow

  1. Normalize the evidence into problem statements with source, segment, frequency, severity, and context.
  2. Remove feature requests that do not reveal an underlying job or failure mode.
  3. Map each high-value problem to one or more physical or service mechanisms.
  4. Screen mechanisms against target price, complexity, size, weight, compatibility, and likely failure modes.
  5. Write measurable specifications; separate required, target, and stretch values.
  6. Create the cheapest experiment capable of disproving each critical hypothesis.
  7. Define kill criteria before prototype results are known.
  8. Route unresolved design-right, supplier, and economic questions to the corresponding Skills.

Example

Observed evidence: repeated complaints that a phone mount slips on rough roads and is difficult to release one-handed. A valid concept does not stop at “stronger magnet.” It identifies the retention and release mechanisms, target vibration test, compatible phone mass range, release force, thermal condition, cost effect, and a failure threshold.

Error handling and stopping conditions

Validation and definition of done