---
title: "Assessment of Sales Negotiation Strategies with ISO 24617-2"
description: "They define three use cases: probing questioning, customer-oriented behaviour, and persuasive… 56 references, cited by 1 paper here."
authors: ["Jutta Stock", "Volha Petukhova", "Dietrich Klakow"]
year: 2022
venue: "Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022"
source: "https://aclanthology.org/2022.isa-1.2/"
licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)"
licence_url: "https://creativecommons.org/licenses/by-nc/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/stock-2022-assessment-sales-negotiation-strategies-iso/"
---
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# Assessment of Sales Negotiation Strategies with ISO 24617-2 Dialogue Act Annotations

**Authors:** Jutta Stock, [Volha Petukhova](https://md.research.elamur.ai/free/en/authors/volha-petukhova/) and [Dietrich Klakow](https://md.research.elamur.ai/free/en/authors/dietrich-klakow/) · **Year:** 2022 · **Venue:** [Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022](https://md.research.elamur.ai/free/en/venues/isa/) ([Joint ACL-ISO Workshop on Interoperable Semantic Annotation 2022](https://md.research.elamur.ai/free/en/venues/isa/2022/)) · **Publisher:** [European Language Resources Association (ELRA)](https://md.research.elamur.ai/free/en/publishers/european-language-resources-association-elra/) · **Licence:** [CC BY-NC 4.0 (ELRA, LREC proceedings)](https://creativecommons.org/licenses/by-nc/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2022.isa-1.2/) · [PDF](https://aclanthology.org/2022.isa-1.2.pdf)

**Citations:** 1 in our library, of the 141,840 papers whose bibliographies we read

## Summary
Call centres want to know why some agents close sales while others with the same offers do not. Current speech analytics tools mostly convert speech to text and mine keywords. They cannot capture questioning tactics, customer orientation or persuasion. The authors test whether the ISO 24617-2 dialogue act standard (Second Edition, 2020) can support this kind of assessment. They define three use cases: probing questioning, customer-oriented behaviour, and persuasive negotiation. They then annotate authentic German call centre conversations from inbound service calls, where agents try to turn a service request into a sale. Each utterance gets multidimensional dialogue act labels, semantic content, qualifiers such as sentiment, and rhetorical relations between acts. The authors also propose domain extensions to the taxonomy. They conclude that the standard is a strong basis for analysing sales strategies. Its qualifier and rhetorical relation mechanisms turned out to be central for the use cases, but they need further specification, especially to model social and interpersonal aspects. This matters because sensitive dialogue data is rarely studied, and theory-driven annotation could later be automated.

## Key points
- The framework is ISO 24617-2, a multidimensional dialogue act taxonomy. The authors apply it to customer–agent sales negotiations in inbound calls and extend its communicative functions and semantic content for this domain.
- There are three use cases: pervasive questioning (open vs. closed questions, as in SPIN-style selling), customer-oriented behaviour, and persuasion, with the latter linked to the AECAL criteria (audibility, engagement, conviction, authority, likability).
- Existing tools such as AVOKE, Talkdesk, NICE and VERINT offer speech-to-text and text mining but no deep analysis of strategy.
- Sentiment qualifiers showed a role split. Customers mostly showed happy, dissatisfied and uncertain, for example uncertainty about cancelling. Agents mostly showed pleased and satisfied, often near the end of the call.
- Data access is a key obstacle. Call centres must purge recordings every 3–6 months and rarely share them. Follow-up studies are planned with expert annotators and broad access to call data.

## Interesting ideas
- Instead of building a new scheme, they took a general dialogue act standard and added domain-specific functions and content on top, which keeps the labels interoperable while still covering the domain.
- Each utterance is labelled in several dimensions at once (task, feedback, social obligations), so one turn can carry a request and a politeness move together.
- Qualifiers such as sentiment or certainty are attached to dialogue acts, and their distribution is compared by speaker role (customer vs. agent).
- Rhetorical relations between dialogue acts are treated as essential for judging argument and persuasion, not just isolated act labels.
- Before annotating, the authors define concrete use cases (questioning, customer orientation, persuasion) and use them to decide which parts of the scheme need extending.

## For Mova

How these ideas could serve Mova, our small open language model — its files, stages and tests:

- **I1** (frames): The speech-act layer in prag could keep an ISO 24617-2-style core and attach domain plug-ins (sales, school dialogues) as explicit, documented extensions.
- **I2** (frames): Speech acts in prag could be multi-valued per clause, letting implicature and irony readers see the secondary social function next to the literal task act.
- **I3** (world): Character states in the world of a fable could carry attitude qualifiers tied to specific acts, so answers like "why was the fox pleased" trace back to an annotated act.
- **I4** (answer): QA on fables could use explicit relations (justification, cause, contrast) between speech acts to explain how one character persuaded another.
- **I5** (learn): Evaluation sets could start from named use cases, with each annotation layer justified by a downstream question it must help answer.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

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## Cite

Cite as: Jutta Stock, Volha Petukhova and Dietrich Klakow. 2022. Assessment of Sales Negotiation Strategies with ISO 24617-2 Dialogue Act Annotations. Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022.

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{stock2022assessment,
  title = {{Assessment of Sales Negotiation Strategies with ISO 24617-2 Dialogue Act Annotations}},
  author = {Jutta Stock, Volha Petukhova and Dietrich Klakow},
  booktitle = {Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022},
  year = {2022},
  url = {https://aclanthology.org/2022.isa-1.2/}
}
```

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56 references, 2 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

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*Updated 24 October 2026*
