A standard B2B customer satisfaction survey shows only half the picture – usually the half distorted by one party’s expectations. Dyadic research in B2B treats the relationship as the unit of analysis, collecting data from the buyer and supplier within the same dyad and then bringing both perspectives together in a single interpretive model. The result is a picture that cannot be obtained through any single NPS survey or interview with a key account manager.
What is dyadic research and when is it worth using in B2B relationships?
Dyadic research is a research design in which the unit of analysis is not an individual respondent, but a pair of related entities – most often a buyer and supplier, a customer and account manager, or a distributor and manufacturer. Each party answers a structured set of questions about the same relationship, the same events, the same promises, and the same points of friction. The analysis compares responses within the dyad rather than averaging results across the sample.
In a B2B context, dyadic research reveals relationships in ways that conventional satisfaction research cannot. The customer states that “communication works well,” and the supplier says the same – but when their answers to questions about specific situations are compared, such as response time to a complaint, clarity of commercial terms, or the scope of agreed SLAs, discrepancies emerge. These discrepancies are more diagnostically valuable than average ratings.
The method is particularly effective where the relationship is long-term, involves multiple contacts, and is costly to maintain: in professional services, manufacturing supply chains, IT contracts, selective distribution, and corporate banking. Wherever the loss of a single customer or supplier means a real loss of revenue, comparing the buyer’s and supplier’s perspectives within one dyad provides a more precise diagnosis than any aggregated indicator.
How should dyadic research be designed to make both perspectives comparable?
The key methodological challenge in dyadic research is ensuring the structural comparability of responses. A question asked of the buyer and supplier must concern the same reality while being phrased from each party’s perspective. It is not enough to translate the customer questionnaire into the supplier’s language – the measurement logic must be redesigned.
In practice, a dyadic research design goes through several stages:
- Dyad mapping – identifying buyer-supplier pairs that genuinely work together and obtaining both parties’ consent to participate. This is the most operationally challenging stage because it requires coordinating recruitment on both sides.
- Designing a mirrored questionnaire – each question has a corresponding question for the other party, asked from the appropriate perspective. The customer question, “How do you assess delivery timeliness?” has its counterpart for the supplier: “How do you assess the timeliness of your own deliveries to this customer?”
- Measuring perceptions of the other party’s expectations – asking not only for respondents’ own assessment, but also how they believe their partner assesses them. This makes it possible to identify both actual discrepancies and metaperceptual discrepancies.
- Analysis within the dyad – comparing responses not between groups, but within each pair. The result is not an average rating, but a map of alignment and divergence across individual dimensions of the relationship.
The most commonly used techniques are structured CATI interviews or CAWI surveys, sometimes supplemented by qualitative in-depth interviews and, in more complex projects, by confrontation workshops in which the results are discussed with both parties in the dyad at the same time. A mixed methods approach also works well in B2B relationship research, where quantitative questionnaire data are explored further through interviews with individuals whose responses diverge most strongly.
In B2B relationships, both parties are usually right – and both are wrong. The buyer is right about what they experienced, and the supplier is right about what they did. Only by comparing these two perspectives can researchers see where the problem truly lies: usually not in the action or expectation alone, but in the space between them, in unverified assumptions, unstated expectations, and implicit promises.
Typical dimensions measured in B2B relationship research include the quality of operational communication, alignment of expectations regarding the scope of service, perceptions of the partner’s flexibility, the level of trust, clarity of commercial terms, the approach to dispute resolution, and willingness to recommend. Each of these dimensions is measured in parallel on both sides and analyzed for alignment.
What methodological pitfalls should be considered in B2B dyadic research?
Dyadic research is operationally demanding and has several specific limitations that should be understood before deciding to conduct it.
The first pitfall is power asymmetry in the relationship. If the buyer is a strategic customer for the supplier, the supplier’s responses may be heavily distorted by concerns about the partner’s reaction – even when anonymity is assured. A similar mechanism works in the opposite direction when the supplier is the only available source of a critical component. The research design must include procedures to minimize this effect: separating data collection from the party commissioning the research, aggregating results at the dyad portfolio level, and conducting qualitative interviews appropriately.
The second pitfall is identifying the right respondent on each side. In a B2B relationship, the “customer” is not one person – it includes the purchasing team, end user, decision-maker, and financial controller. The same applies to the supplier. Dyadic research requires a decision about who represents each party: the account manager versus the buyer, or the project team versus the purchasing department. In practice, the greatest diagnostic value often comes from examining multiple partial dyads within a single company-to-company relationship – because this reveals that the same B2B business relationship is assessed entirely differently at different levels of the organization.
The third pitfall is the cost and time required for recruitment. Collecting complete dyads – those in which both parties have responded – is significantly more difficult than collecting the same number of individual respondents. If one party declines to participate or provides only a partial response, the entire dyad is excluded from the analysis. Dyadic projects require greater oversampling in the initial sample and longer fieldwork.
The fourth pitfall is overinterpreting discrepancies. The fact that a customer and supplier respond differently does not necessarily mean that the relationship is dysfunctional. Some discrepancies result from the natural difference in roles: the buyer sees costs, while the supplier sees its contribution. The analysis must distinguish diagnostic discrepancies, which indicate a genuine communication or operational problem, from structural discrepancies, which result from differing positions in the transaction.
By comparison, a standard one-sided B2B customer satisfaction survey is cheaper, faster, and easier to repeat on a quarterly or annual basis. However, it provides a picture in which the supplier learns how it is assessed but not why the customer assesses it in that particular way. Dyadic research shows B2B relationships in full – including the mechanism through which assessments are formed on both sides.
When does dyadic research provide value that a single survey cannot?
The choice between one-sided and dyadic research should be deliberate. Below is a summary of situations in which a dyadic approach provides value that cannot be obtained otherwise:
- Diagnosing customer or contract loss – when it is necessary to understand at what point, and from whose perspective, the relationship began to deteriorate.
- Auditing strategic relationships – within a portfolio of key customers or suppliers, where each dyad carries significant financial weight.
- Designing new collaboration models – before implementing a partnership or long-term contract, when both parties need to align their expectations.
- Verifying the effectiveness of key account management programs – whether what the supplier considers value delivered to the customer is actually perceived by the customer as value.
- Analyzing relationships in the supply chain – where disruptions on one side cascade through the entire B2B business relationship network.
In projects whose sole purpose is to monitor satisfaction on an annual basis, one-sided research is usually sufficient. In diagnostic projects, where the objective is to understand the relationship mechanism, collecting the buyer’s and supplier’s perspectives in parallel remains a tool that is difficult to replace.
Frequently asked questions
What does dyadic research involve?
Dyadic research is a project in which the unit of analysis is a pair of related entities, most often a buyer and supplier, rather than an individual respondent. Both parties answer mirrored questions about the same relationship, and the analysis compares responses within each pair. The result is not average ratings, but a map of alignment and divergence between perspectives.
Why do supplier and customer perspectives differ?
Each party has a different position in the transaction, different success criteria, and different access to information. The customer sees the outcome and cost, while the supplier sees its contribution and operational constraints. Some differences result from the natural asymmetry of roles, while others stem from unstated expectations, unverified assumptions, and a lack of a shared language for describing the relationship. Dyadic research makes it possible to distinguish between these two sources of discrepancy.
When does dyadic research replace standard B2B satisfaction research?
When the objective is not to measure the level of satisfaction, but to understand the mechanism through which it is formed. Standard NPS or CSAT works well for ongoing monitoring of a customer portfolio. Dyadic research is a diagnostic tool used in audits of strategic relationships, analysis of lost contracts, or the design of new partnership models – where an assessment alone is not enough and it is necessary to understand where it comes from.
Discuss a B2B relationship research project for your industry
If signals are emerging within your portfolio of business relationships that no existing satisfaction measurement can explain, it may be worth considering a dyadic project tailored to the specifics of the industry and the structure of contacts. Such research can be conducted either as a one-time diagnosis or as a recurring audit of key dyads – depending on the objective, scope, and methodology. Contact Hume’s Institute to discuss the scope of your project.