Free Assessment

Fleet Intelligence Assessment™

Evaluating your ability to learn from every robot you deploy.

Twenty questions across five pillars. Score each item honestly to see how much deployment knowledge is being lost.

Key Definitions

Fleet Intelligence
The ability to systematically aggregate and apply learnings from across an entire deployed robot fleet to improve performance and outcomes.
Telemetry
Automated remote measurements and data transmission from robot sensors to a centralized system for monitoring and analysis.
Intervention Events
Specific instances where a robot requires manual human assistance, remote overrides or physical recovery to continue its task.
Foundation Models
Large-scale AI models trained on vast datasets that can be adapted and fine-tuned for a wide range of specialized robotics tasks.
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Score each question from 0 to 4: 0 = not in place, 4 = measured, documented and scalable.

Data Collection

  1. 01Do you collect operational telemetry from every deployed robot?

  2. 02Do you capture intervention events and manual overrides?

  3. 03Do you record hardware and software failures in a standardized format?

  4. 04Do you collect structured operator feedback after deployments?

Product Learning

  1. 05Does Engineering regularly review deployment data?

  2. 06Do field issues directly influence product priorities?

  3. 07Are recurring issues tracked until resolved?

  4. 08Are software updates measured against field performance improvements?

Customer Intelligence

  1. 09Do you conduct structured Voice of Customer interviews?

  2. 10Do you understand why customers expand or reduce deployments?

  3. 11Do you capture feature requests in a standardized system?

  4. 12Do you measure customer satisfaction throughout the deployment lifecycle?

AI & Model Readiness

  1. 13Is deployment data standardized across your fleet?

  2. 14Is operational data labeled and usable for future AI model training?

  3. 15Can data from multiple robots be aggregated into a common dataset?

  4. 16Do you have governance around data quality, storage and permissions?

Continuous Improvement

  1. 17Do Sales, Customer Success, Product and Engineering review fleet insights together?

  2. 18Do deployment lessons improve future implementations?

  3. 19Do you track KPIs showing whether your robots improve over time?

  4. 20Does every deployment contribute knowledge that benefits future customers?

Answer all 20 questions to generate your score.