Clicks show movement. Surveys answer the questions a company decides to ask. Dialogue reveals how people connect their needs, doubts, language and intended next steps.

From dialogue to direction

Listen to the relationship between questions, not only the frequency of words.

People rarely think in the categories used by websites, departments or reports. A technical question can become a discussion about everyday use. A price question can reveal uncertainty about value. A request for product information can lead to a service need or a clear commercial next step.

PulseDialog preserves this conversational context. It helps teams understand what people are trying to resolve, where the brand experience creates friction and which improvement deserves attention.

What PulseDialog is

  • A Retoba conversation intelligence service
  • AI supported analysis with documented categories and definitions
  • Human validation and interpretation in business context
  • A route from evidence to accountable improvement

What PulseDialog is not

  • A sentiment dashboard presented as strategy
  • A claim that one conversational sample represents the whole market
  • Automated decision making without human responsibility
  • A reason to collect more personal data than the purpose requires

The PulseDialog method

Every conclusion keeps a visible path back to the evidence.

PulseDialog begins with a decision that needs better evidence, not with a desired marketing conclusion. The data scope, signal model and review process are defined before findings are interpreted.

Dialogue Structured signals Human interpretation Decision Measured improvement
  1. Define the decisionAgree what the organisation needs to understand, which decision the analysis should support and what would count as useful evidence.
  2. Prepare the dialogueDocument the sources, period, languages, eligible records, exclusions, permissions and data protection conditions.
  3. Structure the signalsClassify topics, intent, context, friction, language, outcomes and opportunities through a project specific signal model.
  4. Validate the analysisReview a sample, refine definitions, test ambiguous categories and separate direct observation from model classification.
  5. Interpret in contextConnect recurring patterns and strategically important exceptions with product, service, marketing and experience knowledge.
  6. Improve and learnAssign actions, improve the relevant system or experience and compare later conversations against a documented baseline.

Signal model

What conversations can reveal.

The exact taxonomy is adapted to the business question. The following signal families provide a durable foundation without forcing every project into the same categories.

Questions

What people need to understand, including recurring questions, follow up questions and knowledge gaps.

Intent

What a person appears to be trying to achieve, compare, decide, use, resolve or do next.

Context

The real situations, constraints and priorities that turn a generic product fact into a personal decision.

Friction

Where information, terminology, process, service or the conversational experience makes progress harder.

Customer language

The words, comparisons and expressions people naturally use when they describe needs and uncertainty.

Opportunity

Evidence that can inform knowledge, content, product, service, marketing or the next version of the AI interface.

Cross sector field notes

Different industries reveal different decision paths.

The same method reveals a different route in every category. PulseDialog keeps the relationship between the first question, personal context, comparison and the next practical action visible.

01 · Industry · Automotive

Finding

Technical comparison becomes a personal decision.

People connect specifications and price with the way they drive, the space they need, their budget and the action that would move the decision forward.

Paraphrased examples

  • Which version fits the way I drive and use the car?
  • How do price, equipment and financing compare?
  • Where can I see it or arrange a test drive?

Observed in conversations from Peugeot 2008 AI Ambassador, Peugeot 3008 AI Ambassador and the current Leapmotor conversational interface.

02 · Industry · Gaming

Finding

A preference becomes guided discovery and a clear next choice.

People describe what they remember or feel like playing, refine the choice through genre, popularity or social context and expect a direct route to the right game.

Paraphrased examples

  • I remember what the game looked like, but not its name. Can you help me find it?
  • Which games are most played or best rated?
  • Which games can I play online with friends?

Observed in conversations from current PlayBuddy conversational interfaces.

03 · Industry · FMCG

Finding

Inspiration becomes preparation and product choice.

People move from a meal idea or ingredient to practical preparation, personal constraints, seasoning choices and the products needed to complete the task.

Paraphrased examples

  • What can I prepare with the ingredients I already have?
  • Which seasoning or product fits this dish?
  • Can you turn the recipe into a shopping list?

Observed in conversations from Kotányi AI Chef and Mojster AVE.

The value is not in any single question. It is in the patterns that reveal what people are trying to decide, where they hesitate and what would help them move forward. PulseDialog turns those patterns into priorities for content, products, services and the conversational experience.

From finding to ownership

Evidence teams can use, challenge and act on.

Insight brief

Clear findings with scope, context, confidence and limitations.

Signal taxonomy

Documented categories and metric definitions for consistent interpretation.

Evidence examples

Eligible, appropriately protected examples that explain why a pattern matters.

Decision map

Each finding connected to a possible action, responsible team and intended outcome.

Improvement backlog

Prioritised changes to knowledge, content, service, product or the AI experience.

Comparison baseline

A defined reference point for later analysis after an improvement is introduced.

Business application

The same evidence can improve different parts of the organisation.

Marketing

Customer language, content priorities, comparison context and communication gaps.

Product

Unmet needs, feature questions, use cases and emerging product opportunities.

Service

Recurring difficulties, ownership questions, handover needs and clearer guidance.

AI experience

Missing knowledge, weak answers, safety boundaries and conversational improvements.

Quality, privacy and limits

Responsible analysis begins before the first classification.

PulseDialog analyses only the dialogue included in the agreed purpose and scope. The method documents what the evidence can support and where another form of research is still required.

  • Purpose and eligibility. The analysis begins with an agreed purpose and a defined set of eligible conversations.
  • Data minimisation. Only the information required for the agreed analytical question is used.
  • Protection and access. Personal information is appropriately removed or protected, with controlled access and retention.
  • Human review. Retoba specialists validate the signal model, classifications and interpretation.
  • Traceability. Findings remain connected to documented definitions, evidence and analytical steps.
  • Representativeness. Results describe the conversations in scope and are not automatically treated as representative of every customer or the whole market.

Documented applications

Conversation intelligence tested in different customer contexts.

PulseDialog is informed by Retoba's work with real brand owned conversational interfaces. Each case demonstrates a different path from dialogue to organisational learning.

Peugeot and Leapmotor

Vehicle discovery, model comparison, pricing, financing, electric mobility and guidance towards the next practical step.

Business impact30%increase in sales opportunities recorded for the Peugeot 2008 project.

View the Peugeot case study

Kotányi AI Chef

Culinary dialogue that reveals intent, recurring needs and product development opportunities.

Engagement and product insightNearly 40%of conversations reflected emotional engagement. Three new product proposals were also identified in under five months.

View the Kotányi case study

GYM24 AI Trainer

Fitness, nutrition, membership and service questions transformed into first party customer insight.

Scale and conversation depth20,000conversations analysed with Retoba PulseDialog; 73% of questions developed into a discussion.

View the GYM24 case study

PlayBuddy

Game discovery, recommendation, preference refinement and support questions transformed into behavioural and experience signals.

Independent recognitionAI GamechangersPlayBuddy was featured as a personalised game discovery assistant whose conversations reveal player preferences, frustrations and unmet content demand beyond conventional analytics.

Read the AI Gamechangers interview

Ways to work

Start with the decision, then choose the depth of analysis.

Focused insight

A defined business question and an agreed conversational dataset, analysed to establish the main signals, limitations and priorities.

Ongoing intelligence

Repeated analysis that tracks emerging questions, changing needs, recurring friction and the effect of updates over time.

Improvement cycle

Findings connected directly to changes in knowledge, content, service, product or the AI interface, followed by a new review.

Clear answers

Questions about PulseDialog AI.

What is PulseDialog AI?
PulseDialog AI is Retoba's conversation intelligence service. It combines AI supported analysis, a documented signal model and human interpretation to turn eligible conversations into evidence that teams can use to improve products, services, marketing, knowledge and customer experience.
What data can it analyse?
Its primary source is eligible dialogue from brand owned AI interfaces, including AI ambassadors, advisors and support assistants. Additional conversational sources may be included when the purpose, rights, format and safeguards are agreed.
Is every conclusion automated?
No. Artificial intelligence helps structure and compare conversations, but the taxonomy, validation, interpretation, limitations and recommendations require human review and business context.
Do the findings represent the whole market?
Not automatically. Findings describe the eligible conversations, period, channels and population included in the analysis. Their broader relevance must be assessed alongside the sample, context and other research.

Method and reference layer

Transparent by design.

PulseDialog methodology developed and maintained by Retoba. Each analysis starts with a defined business question and turns conversational patterns into actionable insights for improving content, products, services and customer experience.

Begin with a business question

What could your conversations help you improve?

We begin by defining the question, eligible data and decision the analysis should support. PulseDialog can analyse conversations from brand interfaces developed or managed by Retoba, or from other agreed sources under appropriate safeguards.