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RAtrivity ReadinessAAtrivity Assistant
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How Atrivity worksWhat reports you getAtrivity vs generic AICompliance and securityImplementation and service
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Launch readiness and supportWin against competitorsAssess and ensure readinessHCP and channel engagement
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What the users sayLife Sciences knowledge benchmarkResults from a sample of 100 programsMeasurement methods
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Platform · How Atrivity works

From approved content to verified field knowledge.

Atrivity Readiness finds what your field does not know and closes it with knowledge challenges and refreshers. Atrivity Assistant answers what they need in the moment. Both run on your Sales Layer of approved content and report into the same analytics.

1 · DiagnoseA short challenge finds what each person does not know, at the first attempt.
2 · ReinforceEach person gets the fix for their own mistakes, then challenges on what is still open.
3 · VerifyA gap closes only when the same person gets it right later. Critical items need 5 of 5 check questions on the same concept.

The five layers below are how it runs. Every answer and every question lands in the same analytics.

Your Sales LayerThe approved knowledge every layer draws from.What’s in it →
The core mechanic: people answer test questions, competitively, against real colleagues.Hover a layer to see what it sends to your analytics.
01AI content generation

Any approved material in. Questions and content out.

Reports, presentations, standard operating procedures, training videos, field team voice notes and web pages. AI turns your approved material into questions and short content, in more than 50 languages.

  • Micro-content for learning, key takeaways, tips and targeted refreshers.
  • Quiz questions, source validated, classified into categories and expert levels.
  • Specialised assistants (Atrivity Assistant), source locked and high precision.
  • Conversational podcasts for screen-less learning between visits.
  • Experts review and sign off before anything reaches the field.
Illustrative flow. Inputs are your approved documents only.
02Gamified knowledge challenges

Five-question challenges in under 50 seconds, between visits and meetings.

People challenge colleagues head to head. Double and triple points, time scarcity, speed and streaks keep them coming back. Every answer is a measurement.

  • Challenge another user, choose the risk and the opponent.
  • Answer against the clock, then review the answers.
  • See individual and team rankings update in real time.
  • Battles: five-day campaigns in a synchronised window, so the snapshot is fair across countries. Each user answers about 300 questions on average, smart repetition included.
  • Head to head, not at the same time: each player answers within 24 hours of the challenge, or loses points.
  • Across languages: colleagues in different countries play the same questions, each in their own language.
Illustrative examples of the three core screens.

Readiness in numbers

275M+answers since 2014, all industries
43%of gaps verified closed, across 100 programs
8.2/10average likelihood to recommend

Effective gamification

Game mechanics across the program.

Game mechanics extend across the app, the platform and the implementation services. That is what makes the app an engaging, data-capturing engine.

03Remediation engine

Every wrong answer gets its own fix.

Smart repetition reinforces each person's knowledge gaps. For questions marked as critical, targeted refreshers provide a tailored explanation and check their answers again.

  • Smart repetition: standard reinforcement per user.
  • Targeted refreshers: an explanation of why the right answer is right, why the others are not, and a memory hook.
  • A gap counts as corrected when the same person later answers the same question correctly. Critical gaps require 5 of 5 correct answers to later check questions on the same concept.
  • Misconceptions that repetition does not move go to managers as a coaching list.
The card is illustrative.

04 · Analytics

3 sample dashboards.

Every answer in a challenge and every question to Atrivity Assistant lands in the same analytics. Three views turn it into decisions for marketing, sales leaders and first-line managers.

1Atrivity Assistant analytics

What the field asks, when, in front of whom, and what the documents do not answer yet.

For marketing and medicalIllustrative data
Monthly usage
AprMayJunJulAugSep
1,860
questions answered
97%
answered with a source
5.4s
average response time
Questions by topic
Clinical data34%
Dosing and use22%
Patient fit19%
Safety15%
Access and cost10%
When and where they ask
Moment
Preparing a visit61%
Learning39%
Who they face
Specialist68%
Nurse32%
Situation
Not a customer57%
Existing customer43%
Competitors and alternatives
Competitor A38%
Competitor B24%
Competitor C18%
Standard of care12%
Generic option8%
Top objections
"Patients must fail the current option first"31%
"My patients already do well"24%
"The device takes too long to set up"19%
"Long-term data is still limited"14%
Unanswered · 1
"Can it be combined with therapy X?"No combination data in the documents
Unanswered · 2
"How do I switch a patient from Competitor A?"Switching guidance not loaded
Unanswered · 3
"Can it be used in children?"Routed to Medical Information
Next steps
  1. Route combination questions to Medical Information
  2. Load the approved switching guide
  3. Answer the top objection in the next challenge

2Galaxy map

Each dot is a person. The closer to the centre, the more they got wrong at the first attempt. The map opens up as challenges and targeted refreshers close the errors.

For sales leaders and managersIllustrative data
First attempt
67
people above 30% errors
Legend
15% or lessabout 30%about 50%over 50%

3Knowledge and impact

Where the gaps are, which ones close with repetition, which need targeted refreshers, and what they are worth.

For commercial excellence and financeIllustrative data
Initial gap rate by countryfirst-attempt incorrect answers
Spain22.4%
France19.1%
Germany24.2%
Italy16.5%
Portugal31.8%
48,600questions viewed
22.8%average initial gap rate
Top questions by final gap ratestill answered wrong after repetition
Which patients should not use the Lite version?41%
What did the pivotal study measure first?35%
How long does set-up take versus the previous model?27%
Which claim is not approved for promotion?22%
What is the recommended follow-up interval?19%
96,400total answers
13.9%average final gap rate
Initial vs final gap rate by category
InitialFinal
27%20%
29%22%
36%31%
35%30%
33%28%
35%26%
Product overviewTechnical featuresClinical dataSafetyCompetitorsPatient selection
Key questions
InitialFinalRepetitions
Which claim is not approved?32%21%2.1
Primary endpoint of the pivotal study?79%50%2.2
Pressure range of the Lite version?87%64%2.2
Retreatment rate in the long-term study?90%72%2.5
2.1
average repetitions per question
1,520
gaps identified
1,216
gaps open after challenges
78
key gaps corrected with targeted refreshers

Economic impact

Projection with your own parameters
Parameters
Gaps: identified and still open
1355
1085
165
53
Non-key identifiedNon-key openKey identifiedKey open
€499,375Estimated value at risk
€257,750Estimated reduction in value at risk
€241,625Estimated remaining value at risk

This illustrative model uses agreed values per gap and verified gap closure to estimate changes in value at risk. It does not measure recovered sales.

Illustrative examples. Product, figures and questions are illustrative.

05Atrivity Assistant · knowledge for field teams

Atrivity Assistant in every pocket.

Atrivity Assistant answers your field team's questions. It answers questions about your products, clinical data and competitors from your approved content only, at any time and in each person's language. When the documents do not cover a point, it says so instead of guessing.

  • Learn. Full explanations while studying a product or a new indication.
  • Prepare. Key messages, likely objections and a quick quiz before a call.
  • Live. Short answers, phrased for the nurse or the doctor in front of you.
  • Measure. Every question is logged in your analytics, so you see what the field needs.

Example conversations with illustrative product content.

Learning
Atrivity AssistantAnswers from approved content
Ask about the product

See it work on your content.

Share one approved document and we can show you sample questions, a sample gap report and how your analytics bring the results together.