Question 1

What is field intelligence in medical devices?

Accepted Answer

Field intelligence is the systematic collection of real-world product usage data, competitive insights, and feedback from medical device sales representatives who observe surgical procedures daily. Traditional field intelligence relies on manual outreach and personal relationships, creating blind spots in product development decisions. OpSync transforms this by using AI to systematically capture insights across all territories, not just from reps with existing relationships.

Question 2

How does AI improve medical device field intelligence?

Accepted Answer

AI automates the systematic collection of field intelligence across all territories, eliminating the bias and gaps of manual processes. OpSync's Agentic AI captures instrumentation usage patterns, competitive observations, and product feedback in real-time, compressing feedback loops from 3-4 weeks to just 48 hours. Instead of texting 10 reps hoping for responses, you get 100% territory coverage with structured, actionable data.

Question 3

What kind of data does OpSync collect?

Accepted Answer

OpSync collects three critical types of field intelligence: (1) Instrumentation usage data - which instruments are picked up, actually used, or never opened during procedures; (2) Competitive intelligence - real-world observations of competitor product performance, features, and surgeon preferences; (3) Product feedback - early warning signals during alpha/beta launches, including assumption mismatches and usage pattern deviations. All data is collected systematically from field reps during downtime, not during procedures.

Question 4

How is this different from survey tools or CRM systems?

Accepted Answer

Survey tools require reps to manually fill out forms, leading to low response rates and biased data from only motivated responders. CRM systems track sales activities but don't capture actual product usage in the OR. OpSync is purpose-built field intelligence infrastructure that integrates with your existing systems (Salesforce, AXIS, RedSpot) while using AI to systematically collect the specific insights product teams need - instrumentation usage, competitive observations, and real-world feedback - without burdening field teams.

Question 5

What ROI can I expect from systematic field intelligence?

Accepted Answer

Our customers report three primary ROI drivers: (1) Avoided launch delays - catching critical instrumentation misses during alpha/beta testing prevents $8M+ monthly costs from delayed full launches; (2) Reduced redesign costs - systematic validation prevents million-dollar post-launch redesigns when assumptions prove wrong; (3) Optimized instrumentation sets - identifying rarely-used instruments allows set rationalization, reducing carrying costs. Most customers see ROI within the first product launch cycle that includes OpSync validation.

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