Analytics
Answer the question your CFO actually asks.
See whether behaviour changed, in which teams and over what period, not just who logged in.
What your enablement team sees on Monday morning
One view for the whole team: who practised, who needs help, and whether the team is moving.
Licence usage186 / 200 seats
Activation rate92%
Users with activity171 / 186
Total sessions1,284
Avg. sessions/user7.5
Avg. time/user38m
Activity timeline
Sessions per week, last 12 weeks
160120
8040
0
Score distribution
Users with activity per mastery level, by best try
Individual
Sorted by smallest improvement first
| Name | First try | Best try | Improvement |
|---|---|---|---|
| Henrike Voss | 61% | 61% | +0 |
| Lukas Brandt | 39% | 44% | +5 |
| Sofia Marchetti | 44% | 52% | +8 |
| Daniel Mbeki | 52% | 68% | +16 |
| Aylin Kaya | 47% | 71% | +24 |
| Priya Raman | 56% | 88% | +32 |
| Tomasz Weber | 38% | 76% | +38 |
| Mara Lindqvist | 41% | 83% | +42 |
Aylin Kaya
Field team North, wave 2 · Active
Invited4 Aug
Registered5 Aug
First session11 Aug
Training time
27m 14s total · 4m 32s average per session
8m4m
0
sceptical GP
new territory
follow-up call
sceptical GP
new territory
follow-up call
Scenarios
First try and best try, per scenario
- Seven minutes, sceptical GP
- First visit, new territory
- Congress follow-up call
Avg. first try47%
Avg. best try71%
Avg. improvement+24
Avg. first try46%
Avg. best try78%
Avg. improvement+32
Cohorts
Side by side
| Cohort | Reps | First try | Best try |
|---|---|---|---|
| Field team North, wave 2 | 48 | 44% | 81% |
| New hires Q3 | 36 | 41% | 74% |
| Key account managers | 22 | 58% | 86% |
| Inside sales DACH | 65 | 47% | 72% |
Overall score per scenario
First try and best try, across the cohort
- Seven minutes, sceptical GP
- First visit, new territory
- “Send me the summary” objection
- Practice manager gatekeeper
- Congress follow-up call
Warmth & competence matrix
Average movement from first try to best try
Relationship builder
★ Trusted advisor
Transactionist
Specialist
100
Warmth %
0
100
Competence %
Communication skill breakdown
Per-skill and sub-skill performance
CompetenceConfidence 84%Mastered
3 of 3 mastered 3 moved through practice
Doubt words Improvable → Mastered
Filler words Improvable → Mastered
Presence Partially mastered → Mastered
Persona-oriented communication 68%Partially mastered
Knowledge breakdown
Per-scenario instruction performance
| Seven minutes, sceptical GP | 86% Mastered |
| First visit, new territory | 79% Mastered |
| “Send me the summary” objection | 61% Partially mastered |
| Practice manager gatekeeper | Hidden until enough reps practise this scenario |
| Congress follow-up call | Hidden until enough reps practise this scenario |
Activation and sessions by week, before any score is mentioned. A cohort that has gone quiet shows up here first.
Illustrative data. Names, cohorts and scores are invented to show the interface.
Agentic AI coach
Every feature, one agentic layer
The coach reports progress by rep, team and cohort for every programme it runs.
You
Enablement lead
Asks once, then approves each step before anything goes live.
Agentic coach
Agentic AI coach
One layer across the whole platform.
The platform
Coaching features
Used for you, end to end.
Reps practise, progress comes back to you
Analytics
Behaviour, not attendance
Not how many people logged in. Whether the behaviour changed, in which teams, and over what period, with the method behind every score shown on the same screen as the score.
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WarmthRelationship builderTrusted advisorTransactionistSpecialist+32CompetenceFirst tryBest try
Warmth and Competence
Every session lands on the two axes a buyer judges on, and the quadrant says whether a rep is reading as a trusted advisor or as a specialist.
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75 mastered50 floor46First try78Best try
First try against best try
Every scenario carries the opening attempt, the best attempt and the distance between them. By default, mastered sits at 75 and above and improvable below 50, and both thresholds are yours to set.
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OrganisationCohortsIndividualLicence usage186 / 200 seatsActivation rate92%CohortFirstBestField team North, wave 244%81%New hires Q341%74%Key account managers58%86%
Organisation, cohort, individual
The same measures at three levels: seats and activation for the organisation, cohorts side by side, and one rep’s own run.
- Applied knowledge, scored apartWhether the rep knew the material is measured separately from how they said it, so a content gap and a behaviour gap cannot hide each other.
- The method sits next to the scoreLanguage patterns, vocal tone and facial expression, stated on the screen where the number is shown rather than in a datasheet.
- Three levels, the same measuresThe same measures at three levels, so a head of enablement, a team lead and a rep each get the view that answers their own question.
- Privacy thresholds by designAggregated views only render once a group is large enough to protect the individuals inside it, which is what makes the organisation view something a works council will sign off.
- Mastery in three levelsEach user sits in one level from their best try, so a cohort can be read at a glance before anyone opens a single session.
- CSV and XLSX exportThe numbers leave in a format your BI tool already reads, so the reporting you run today does not have to move.
- Seats and activation firstSeats in use and the activation rate open the organisation view, so whether anyone is using it at all is answered before a single score.
- Development over timeOne rep, their sessions, and how their Warmth and Competence have developed: the view a rep and their manager work from.
- Adoption and activityCompleted scenarios, organisation-level Warmth and Competence development and activity over time, in the organisation view.
- Cohorts side by sideTwo groups compared, so you can see whether the region that ran the programme moved differently from the one that did not.
- Anonymisation and token loginPart of the same privacy answer as the thresholds, and the first thing to put in front of a works council.
- Reachable over the APIResults can be pulled over the API as well as exported, so they land in the reporting stack leadership already reads.
The science
Why Warmth and Competence
Research on how people judge each other keeps arriving at the same two dimensions. Reporting is built on them, and progress is read as movement between attempts.
Tap a number to see the evidence
Social psychology
Two dimensions explain most
82% of the variation in everyday social judgements
Warmth and competence account for most of how people judge one another in everyday life (Wojciszke, Bazinska and Jaworski 1998, reported in Fiske, Cuddy and Glick 2007).
Customer relationships
Relationship and transaction
3,700+ respondents in a field study and two experiments
In customer relationships, warmth drives the relationship and competence drives the transaction (Güntürkün, Haumann and Mikolon 2020).
Across cultures
Not a local finding
40+ countries where the model was confirmed
The two-dimension model has been described in four independent research traditions and confirmed across more than 40 countries (Fiske 2018).
SourcesWojciszke, Bazinska & Jaworski 1998, reported in Fiske, Cuddy & Glick 2007, Trends in Cognitive Sciences; Güntürkün, Haumann & Mikolon 2020, Journal of Service Research; Fiske 2018, Current Directions in Psychological Science. The 82% describes everyday social judgements, not purchase decisions.
What a session is running on
The scenario, the counterpart and the numbers every role play depends on, none of them on the screens above, and what the teams running it say.
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Scenarios
Built from your material, and the research you ask for.
Your enablement team briefs the coach on the goal and uploads the product sheet, the battle card or the pricing rules. When you ask, the coach adds public competitor research and shows where each point came from. In the role play itself, the counterpart answers only from the material you approved.
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Counterparts
The customer your reps dread, in the language they sell in.
93 photorealistic avatars, 38 voices and 14 languages. You set the persona's background, its attitude towards your company and how hard it pushes, then reuse it across scenarios. The rep in Lisbon and the rep in Munich practise against the same standard.
DeutschMunich
FrançaisLyon
PortuguêsLisbon
EnglishManchester
EspañolMadrid
ItalianoMilan -
Analytics
Adoption and progress by cohort, not by anecdote.
Which cohorts are practising, how many scenarios they complete, and how Warmth and Competence move across the organisation over time. Compare cohorts side by side. Small groups stay hidden behind privacy thresholds, by design.
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In their words
“AI coaching is moving to the center stage of corporate learning. Retorio is uniquely positioned to offer cross-national learning experiences.”See customer references
Irit Hovich, Senior Director, Global Talent Management, Head of Diversity and Inclusion, Teva15xexpected ROI in the first year38-42%reduction in ramp time69%less human trainer effort
The rest of the platform
Session generatorYour battle card in, a session out.
Build
Persona generatorBuyers that mirror your real segments.
Build
AI role playRehearse the conversation that matters.
Practise
Multimodal behavioural feedbackWords, voice and face read in one pass.
Read
Guided AI coachingWhat the feedback engine sees, and why.
Coach
Next step
See the dashboard with a real cohort shape
Bring your team structure and we will show what the reporting would look like for it.
Book a demo
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Frequently asked questions
Can we compare one team against another?
Yes, through the cohort view, with the privacy thresholds described above. Cohort comparison is a group-to-group question by design.
Does the data leave the EU?
No. Retorio is hosted on GCP with EU data residency, ISO 27001 certified, GDPR and DSGVO compliant, and EU AI Act aligned.
Can we get it into our own BI tool?
Results are exportable and available over the API, so they can be pulled into the reporting stack you already use.
What does the works council usually ask for?
In our experience: who can see an individual's results, what the minimum group size is before an aggregate is shown, how long recordings are kept, and whether participation is identifiable. Those are answerable in writing before a pilot starts, and we would rather do that early than at rollout.
How soon do the numbers mean anything?
Adoption and activity are visible immediately. Behavioural development is a trend and needs enough sessions per person to be a trend rather than noise, which is a conversation worth having when the programme is designed rather than when the first report is read.
Why does Retorio measure Warmth and Competence?
Research on social perception finds that 82% of the variation in everyday judgments of other people comes down to these two dimensions (Wojciszke, Bazinska and Jaworski 1998, reported in Fiske, Cuddy and Glick 2007). In customer relationships, warmth drives the relationship and competence drives the transaction (Güntürkün, Haumann and Mikolon 2020, more than 3,700 respondents).
More questions on data, security and rollout?View all FAQs