5. Interviews, Focus Groups and Oral Accounts

Introduction: Conversation as Research Practice

Interviews and focus groups are among the most widely used methods in qualitative business research. They enable researchers to examine how people interpret events, construct meaning, justify decisions, describe organizational practices, and experience power and change. Unlike questionnaires, which generally standardize responses, qualitative conversations provide access to ambiguity, contradiction, emotion, memory, tacit knowledge, and the language through which participants understand their organizational worlds.

Their value, however, does not arise simply from asking questions. An interview is a socially situated encounter in which the participant and researcher jointly produce an account. What is said may be shaped by status, trust, organizational interests, the perceived purpose of the study, the wording of questions, and the interactional style of the interviewer. A focus group adds another layer: participants respond not only to the researcher but also to one another. Oral accounts similarly require attention to memory, narrative structure, silence, omission, and the relationship between personal experience and collective history.

For doctoral researchers, the central challenge is to design conversations that are theoretically informed without becoming rigid, open without becoming directionless, and ethically responsible without suppressing difficult or politically sensitive material. This chapter examines the design, conduct, interpretation, and evaluation of interviews, focus groups, and oral accounts in organizational and business research.

Learning Objectives

By the end of this chapter, students should be able to:

1. Distinguish structured, semi-structured, unstructured, elite, critical-incident, and oral-history interviews.

2. Design an interview or focus-group protocol aligned with a research question and sampling strategy.

3. Use probes, follow-up questions, silence, and active listening to elicit rich evidence.

4. Analyze the effects of power, rapport, recall, social desirability, and interviewer identity.

5. Facilitate focus groups while managing dominance, conformity, conflict, and confidentiality.

6. Evaluate ethical, practical, and methodological risks in conversational research.

7. Integrate interview and oral-account data into a defensible qualitative research design.

The Epistemological Status of Interview Data

Interview data are not transparent windows into an objective reality. They are accounts produced in a particular setting for a particular audience. This does not make them untrustworthy. Rather, it means that the researcher must ask what kind of knowledge an account provides and under what conditions it was produced.

A participant may describe what happened, what should have happened, how the organization wishes to be seen, or how the participant now makes sense of an earlier event. These dimensions can coexist. A chief executive discussing a failed transformation may provide factual chronology, a self-protective explanation, and a culturally acceptable story about leadership. Each dimension may be analytically significant.

A useful distinction is between experience, interpretation, and representation. Experience concerns what participants encountered; interpretation concerns the meanings they attach to it; representation concerns how they narrate it in the research setting. Interviews can illuminate all three, but they should not be treated as direct evidence of events without triangulation where factual verification matters.

The interview is also relational. Interviewer characteristics—including professional role, gender, ethnicity, age, institutional affiliation, language, and perceived expertise—may influence disclosure. Reflexivity therefore belongs in the design, fieldwork, and analysis rather than being added as a brief statement at the end of a dissertation.

Choosing Among Interview Forms

Structured interviews

A structured interview uses a fixed sequence of questions and standardized wording, with limited deviation. It can improve comparability across participants and is useful when the researcher needs systematic coverage of clearly defined topics. Structured interviews may be appropriate in multi-site organizational studies or in designs combining qualitative depth with systematic comparison. Their limitation is that they can restrict the emergence of unanticipated meanings and discourage participants from explaining issues in their own terms.

Semi-structured interviews

Semi-structured interviews combine a common topic framework with conversational flexibility. The researcher prepares themes and principal questions but can alter order, request examples, pursue unexpected issues, and adapt language to the participant. This is often the most suitable form for doctoral business research because it supports cross-case comparison while preserving interpretive depth.

A strong semi-structured protocol is not a questionnaire disguised as a conversation. It is a theoretically informed map. It usually moves from less threatening descriptive questions to interpretive and evaluative questions, and from general organizational context to specific experiences.

Unstructured interviews

Unstructured interviews have a broad purpose rather than a predetermined list of questions. The participant may be invited to tell the story of a career, organizational change, professional identity, or critical period. The researcher listens actively and intervenes selectively. This form is valuable in exploratory research and oral history, but it demands considerable interviewing skill and may produce uneven coverage across participants.

Elite or expert interviews

Elite interviews involve people with substantial authority, specialist knowledge, or privileged access to organizational decisions, such as senior executives, regulators, founders, investors, policy actors, or professional advisers. These participants may be difficult to access and may attempt to control the agenda. They may also provide polished institutional narratives rather than candid reflections.

Preparation is essential. The researcher should understand the participant’s role, use precise terminology, avoid questions answerable from public documents, and recognize the participant’s time constraints. Respectful challenge is possible without adopting an adversarial stance. For example, “Some managers described the implementation differently. How would you account for that variation?” is more productive than accusing the participant of inconsistency.

Critical-incident interviews

Critical-incident interviewing asks participants to describe a specific event that had a significant effect on a process, relationship, decision, or outcome. The method reduces the abstraction of questions such as “How is culture managed?” by focusing on an episode: a customer escalation, failed merger meeting, safety breach, product launch, restructuring announcement, or ethical dilemma.

The researcher should establish the setting, sequence, actors, decisions, interpretations, consequences, and retrospective meaning of the incident. Critical-incident accounts are especially useful for studying judgment, leadership, service failure, learning, and organizational resilience. They remain subject to selective recall and post-event rationalization, so the researcher should distinguish what the participant knew at the time from what became apparent later.

Oral accounts and oral history

Oral accounts include life histories, career narratives, organizational histories, testimony, and accounts of marginalized or under-documented experience. They can recover perspectives absent from formal records and reveal how organizational identities and collective memories are constructed.

Oral history is not merely a chronology. Narrators select turning points, heroes, villains, silences, and moral lessons. The researcher should attend to narrative form as well as factual content. A repeated story may indicate institutional memory, identity work, or an unresolved conflict. Contradictions between accounts need not be treated simply as errors; they may reveal competing interpretations of organizational reality.

Designing the Interview Protocol

Protocol design begins with the research question. A question concerned with how middle managers experience algorithmic monitoring requires different prompts from one examining why executives authorize a digital transformation. The protocol should therefore connect three levels: the research question, the conceptual categories or sensitizing concepts, and the participant’s language and experience.

A useful protocol contains:

• an opening script explaining purpose, voluntary participation, recording, confidentiality, and withdrawal;
• introductory questions establishing role and context;
• core questions organized by themes rather than a rigid script;
• optional probes and prompts;
• transition language for sensitive topics;
• a closing invitation for additions or corrections;
• space for field notes and immediate reflections.

Questions should generally be open, singular, neutral, and comprehensible. “Can you describe a time when the new performance system affected your work?” is preferable to “Did the new system improve performance and morale?” The latter contains assumptions and combines two constructs.

Questions about processes often produce richer data than questions about opinions. “What happened after the policy was announced?” invites an account of action and sequence. “How did you feel about the policy?” may still be useful, but should be followed by requests for examples and consequences.

Probing and follow-up

Probes deepen or clarify an initial response. Common forms include:

• elaboration: “Could you tell me more about that?”
• example: “Can you recall a specific occasion?”
• clarification: “When you say ‘resistance,’ what did that look like?”
• sequence: “What happened next?”
• contrast: “Was that different from the previous system?”
• perspective: “How do you think the customer interpreted the decision?”
• evidence: “What led you to that conclusion?”

Probes should not become covert leading questions. “Did senior management pressure you to agree?” presupposes pressure. “What, if anything, influenced your decision?” leaves room for the participant’s account.

Piloting and revision

Piloting is more than testing whether questions are understandable. It reveals whether the sequence creates defensiveness, whether concepts are meaningful to participants, whether questions elicit description rather than slogans, and whether the protocol is feasible within the available time. Pilot interviews should be documented and critically reviewed. A question that appears theoretically important but consistently generates abstract or rehearsed responses may need to be replaced with an incident-based prompt.

Conducting a High-Quality Interview

Rapport is not simply friendliness. It is a working relationship that enables participants to speak with sufficient confidence and specificity. Rapport can be developed through preparation, respectful attention, clear boundaries, nonjudgmental responses, and recognition of the participant’s expertise. Over-identification can be counterproductive: an interviewer who attempts to appear too similar may reduce analytical distance or encourage assumed agreement.

Active listening involves attending to content, emotion, pauses, contradictions, and changes in tone. The interviewer should avoid filling every silence. A brief pause may allow a participant to move beyond a prepared answer. However, silence must be used sensitively, especially where participants are distressed or working in a second language.

The interviewer should monitor the balance between listening and directing. Excessive interruption fragments an account; too little intervention can produce data unrelated to the research question. Field notes should record context, nonverbal observations where appropriate, emerging analytic ideas, and possible effects of the interaction. They should not be confused with transcript content.

Sensitive questions require sequencing and care. The researcher may begin with organizational processes, move to the participant’s role, and then ask about consequences or disagreements. Participants should not be pressured to disclose trauma, misconduct, or confidential information. The right to decline should be explicit and credible.

Focus Groups as Interactional Data

A focus group is a moderated discussion among several participants selected because their interaction can illuminate a research topic. It is not simply several individual interviews conducted simultaneously. Participants react to, refine, contest, and sometimes silence one another. The data therefore include both what people say and how collective meaning is negotiated.

Focus groups are useful for exploring shared vocabularies, contested interpretations, norms, customer experiences, professional identities, and responses to proposed products or policies. They are less suitable when disclosure is highly personal, when participants have severe status differences, or when confidentiality cannot reasonably be protected.

Composition and size

Homogeneity on a relevant dimension can support disclosure and interaction—for example, grouping frontline employees separately from supervisors. At the same time, variation in experience may generate productive disagreement. The design should be guided by the research question rather than by a universal rule about group size. Smaller groups may be appropriate for complex or sensitive topics; larger groups can provide broader interaction but are more difficult to facilitate.

Status differences require particular attention. A supervisor and subordinate in the same group may alter the subordinate’s speech even if the moderator promises confidentiality. Separate groups, careful recruitment, or individual interviews may be more ethical and analytically sound.

Facilitation

The moderator introduces the purpose, establishes ground rules, invites balanced participation, and keeps the discussion connected to the topic. Useful interventions include “Let us hear from someone who has not spoken yet,” “How do others see this?” and “We have heard two different experiences; can we explore that difference?” The moderator should not resolve disagreements or reward a preferred view.

A co-moderator may observe participation patterns and manage logistics, but multiple moderators can make the setting feel formal. The researcher should anticipate dominant speakers, silent participants, coalition formation, joking, conformity, and conflict. Disagreement is not automatically a problem; it may be central data. The ethical requirement is to prevent intimidation and harm, not to eliminate difference.

Power, Recall, and Interviewer Effects

Power operates before, during, and after the conversation. Organizational participants may fear that criticism will affect employment, promotion, contracts, or reputation. Researchers may also depend on gatekeepers who restrict access or select favorable participants. Consent is meaningful only when participation is genuinely voluntary and the limits of confidentiality are explained.

Recall is reconstructive. Participants may forget dates, compress sequences, reinterpret decisions in light of later outcomes, or reproduce organizational narratives. Memory limitations do not invalidate oral accounts. They require careful questioning: anchors such as projects, roles, locations, or public events can assist recall; asking what the participant knew at the time can distinguish contemporaneous understanding from retrospective explanation.

Interviewer effects include leading wording, visible approval, selective probing, premature interpretation, and differences in attention across participants. Reflexive practice can include a positionality statement, peer debriefing, protocol review, audit of probing patterns, and comparison of early and later interviews. A reflexive journal should ask not only what the participant said but why the conversation took the form it did.

Social desirability is particularly strong in business research. Executives may present strategic competence, employees may minimize dissent, and consultants may promote the value of their work. Asking for examples, failures, trade-offs, and alternative perspectives can produce more nuanced accounts than asking directly whether the organization performs well.

From Conversation to Evidence

Analysis begins during fieldwork. Researchers may revise sampling, identify neglected topics, and compare emerging accounts. Nevertheless, analytic revisions should be documented so that the evolving design remains intelligible.

Transcription should preserve features relevant to the research question, such as pauses, laughter, overlap, emphatic speech, or long silences. A highly detailed transcription is not always necessary, but the conventions should be stated and applied consistently. Translation introduces another interpretive layer. Key concepts, culturally specific expressions, and uncertainty in translation should be recorded rather than silently normalized.

Coding may begin with descriptive labels—such as “implementation delay” or “customer complaint”—and develop toward interpretive categories such as “risk displacement” or “identity protection.” Narrative analysis may examine plot, turning points, temporal ordering, and moral positioning. Conversation analysis, where appropriate, focuses closely on turn-taking, repair, sequence, and interactional accomplishment. The method should match the analytic claim.

Interview accounts should not be aggregated mechanically. Negative cases, divergent experiences, silence, and contradictions may be theoretically important. Triangulation can involve comparing interviews with documents, observations, digital records, or accounts from different organizational levels. Triangulation is not a requirement that all sources agree; disagreement may reveal boundary work, contested authority, or different knowledge positions.

Ethical and Governance Considerations

Interview research commonly requires informed consent, secure recording and storage, confidentiality procedures, and institutional ethical review. Participants should understand who will access recordings, how quotations will be used, whether anonymization is possible, and how long data will be retained. In small organizations, removing names may not prevent deductive identification because roles and events are recognizable.

Researchers must plan for disclosures of wrongdoing, discrimination, threats, or harm. The consent process should describe relevant limits to confidentiality, consistent with institutional and legal requirements. Sensitive data should be encrypted, access-controlled, and separated from identifying information. Cloud transcription and artificial-intelligence tools raise additional issues concerning data transfer, vendor retention, accuracy, and unauthorized secondary use. Researchers should not upload confidential recordings to an external system without appropriate approval and participant permission.

Compensation should reimburse time without becoming coercive. Researchers should avoid promising organizational benefits they cannot deliver. When reporting findings, quotations should preserve meaning without exposing participants unnecessarily. Member reflection or participant feedback can identify factual misunderstandings, but participants should not be given unrestricted editorial control over analysis, since that may suppress critical interpretation.

An Illustrative Case: Listening to a Failed Transformation

Background

The following is a fictional case designed to illustrate methodological choices. Meridian Health Services, a regional provider, introduced a digital scheduling platform intended to reduce waiting times and improve coordination among clinics. Eighteen months later, senior management claimed that resistance among staff had undermined the project. A doctoral researcher was asked to investigate how implementation was experienced by schedulers, nurses, clinic managers, and executives.

Problem and design

A single interview method would have privileged particular perspectives. The researcher therefore used semi-structured interviews with staff and managers, elite interviews with executives and the vendor’s implementation lead, two focus groups with schedulers, and critical-incident prompts about specific scheduling failures. Organizational documents were used to reconstruct the formal implementation timeline.

The protocol began with participants’ roles and ordinary scheduling practices, then asked about the introduction of the platform, a specific incident, informal workarounds, and perceptions of responsibility. The researcher avoided beginning with the management claim about resistance because doing so might invite participants either to confirm or reject a pre-established explanation.

Analysis

Executives described the project as technically successful but culturally obstructed. Schedulers initially used the language of “resistance,” yet critical-incident accounts showed that they were compensating for inaccurate appointment-duration assumptions and unstable software integration. In focus groups, participants collectively reconstructed a history of warnings that had not reached the steering committee. However, when a clinic manager joined one session, criticism became more cautious and shifted toward individual training needs.

The comparison of sources revealed that “resistance” was not a single condition. It referred variously to refusal, protective workarounds, uncertainty, and disagreement about patient risk. The focus groups also showed that staff had developed a shared identity around protecting patients from the consequences of flawed scheduling rules.

Outcome

The researcher reported that the implementation problem involved governance, incomplete testing, and an upward filtering of information rather than simply employee unwillingness. Management created a cross-level review group, revised appointment rules, and separated training issues from software defects. The final report retained disagreement among participants instead of presenting a single unified organizational voice.

Learning points

The case demonstrates the value of matching method to claim. Elite interviews illuminated formal decision rationales; staff interviews revealed lived consequences; focus groups exposed collective vocabulary and peer interaction; critical incidents connected general judgments to concrete practice. It also shows why group composition matters and why a researcher should treat organizational labels such as “resistance” as objects of inquiry rather than settled explanations.

Common Failures and Practical Safeguards

Weak interview studies often rely on broad questions, collect opinions without examples, treat senior accounts as authoritative, or report quotations without context. Other problems include overlong protocols, inadequate piloting, leading probes, inconsistent recording practices, and failure to explain how themes were developed.

Practical safeguards include aligning every major question with the research purpose, using incident-based prompts, testing the protocol with participants resembling the target sample, separating groups by consequential status differences, recording reflexive notes, preserving negative cases, and documenting changes to sampling and questioning. Researchers should also distinguish data saturation from convenience. The point is not to stop when conversations become repetitive merely because the sample is easy to access; it is to justify adequacy in relation to conceptual development, variation, and the study’s claims.

Current Developments

Digital interviewing has expanded through video platforms, online focus groups, asynchronous discussion spaces, and mobile voice diaries. These approaches can include geographically dispersed participants and reduce travel, but they alter rapport, privacy, turn-taking, and access. Participants may join from workplaces where they cannot speak freely, while unstable connectivity may disproportionately affect some groups.

Automated transcription and language models can accelerate preparation, coding, and search, but they do not replace interpretive judgment. Errors in names, accents, turn-taking, irony, and culturally specific meanings can distort the record. Researchers should verify transcripts, protect data, disclose relevant tool use, and avoid treating automated themes as analysis. Future qualitative researchers will increasingly need both conversational skill and data-governance competence.

Best Practices for Doctoral Researchers

A defensible conversational study generally does the following:

1. Begins with a clearly articulated methodological purpose rather than a generic desire to “gather views.”

2. Selects interview or group forms according to the research question, participant relations, and sensitivity of the topic.

3. Uses protocols that provide consistency without preventing discovery.

4. Requests examples, sequences, and consequences rather than relying only on abstract opinions.

5. Treats rapport as ethical and analytical work, not merely a technique for obtaining disclosure.

6. Makes power, positionality, recall, and interviewer influence visible in the research record.

7. Protects participants through realistic confidentiality and secure data procedures.

8. Analyzes interaction, contradiction, silence, and narrative form where relevant.

9. Triangulates responsibly without assuming that agreement is the only mark of validity.

10. Reports the conditions under which accounts were produced and limits the claims accordingly.

Chapter Summary

Interviews, focus groups, and oral accounts are relational methods for studying meaning, experience, decision-making, identity, and organizational practice. Structured interviews offer comparability; semi-structured interviews combine focus with flexibility; unstructured and oral-history approaches support narrative depth; elite interviews address privileged knowledge; and critical-incident interviews connect interpretation to concrete events. Focus groups generate distinctive interactional evidence but require careful attention to composition, status, conformity, and facilitation.

The quality of conversational research depends on more than a well-written question schedule. Protocols must be aligned with research questions, probes must elicit specificity without leading, and interviewers must manage silence, rapport, power, and their own influence. Recall and social desirability require cautious interpretation and, where appropriate, triangulation. Ethical practice includes meaningful consent, confidentiality, secure data management, responsible quotation, and careful use of digital transcription or artificial-intelligence tools. Ultimately, rigorous analysis treats accounts as situated productions while taking participants’ interpretations seriously.

Key Terms

Structured interview: An interview using standardized questions and a fixed sequence with limited deviation.

Semi-structured interview: A guided conversation organized around common themes but allowing flexible probing and follow-up.

Unstructured interview: An open-ended conversation guided by a broad purpose rather than a fixed question schedule.

Elite interview: An interview with a participant possessing significant authority, expertise, access, or institutional influence.

Critical-incident interview: An interview that elicits detailed accounts of a specific consequential event.

Oral account: A spoken narrative through which a participant describes experience, memory, interpretation, or history.

Focus group: A facilitated group discussion in which interaction among participants is itself a source of data.

Interview protocol: A planned framework specifying the purpose, opening, themes, questions, probes, and ethical procedures for a conversation.

Probe: A follow-up prompt used to clarify, deepen, exemplify, or contextualize a participant’s response.

Rapport: A working relationship that supports respectful, sufficiently confident, and meaningful participation.

Reflexivity: Critical examination of how the researcher’s position, assumptions, and conduct shape the research process and knowledge produced.

Interviewer effect: The influence of the interviewer’s identity, behavior, wording, or expectations on participant responses.

Recall bias: Distortion or selectivity arising when participants reconstruct past events from memory.

Social desirability: The tendency to present oneself or one’s organization in socially approved ways.

Gatekeeper: A person or institution controlling access to participants, sites, information, or organizational settings.

Negative case: Evidence that conflicts with an emerging pattern or explanation and prompts analytic refinement.

Triangulation: Comparison of different sources, methods, perspectives, or investigators to deepen interpretation and assess consistency.

Theoretical saturation: The point at which additional data contribute little to the development of relevant categories or theoretical insight.

Positionality: The researcher’s social, professional, cultural, and institutional location in relation to the research and participants.

Interactional data: Meaningful evidence contained in participants’ responses to one another, including agreement, disagreement, silence, and turn-taking.

Review Questions

Short Answer Questions

1. What distinguishes a semi-structured interview from a structured interview?

2. Why are critical-incident prompts useful in organizational research?

3. Define interviewer effect and give one example.

4. What makes focus-group data different from data collected through several individual interviews?

5. Why should researchers distinguish contemporaneous knowledge from retrospective interpretation?

Long Answer Questions

1. Explain how a doctoral researcher should design, pilot, and revise a semi-structured interview protocol.

2. Compare elite interviews, oral accounts, and critical-incident interviews in terms of their purposes and methodological risks.

3. Discuss how power and status differences influence focus-group composition and facilitation.

4. Evaluate the claim that interview data are co-produced rather than simply collected.

5. Explain how reflexivity, triangulation, and negative-case analysis contribute to the credibility of conversational research.

Analytical / Application Questions

1. You are studying why employees do not report safety concerns. Design an interview and sampling strategy that addresses power, confidentiality, recall, and social desirability.

2. In a focus group, a senior manager dominates the discussion while junior employees remain silent. Analyze the methodological and ethical implications and propose an immediate facilitation response.

3. Executives describe a digital transformation as successful, while frontline workers describe extensive workarounds. Explain how you would use interviews, focus groups, critical incidents, and organizational documents to analyze the contradiction.

22. Multiple Choice Questions with Answers

Question 1

Which interview form best combines comparability across participants with flexibility to pursue unexpected issues?

A. Structured interview

B. Semi-structured interview

C. Unstructured interview

D. Oral-history interview

Correct Answer: B. Semi-structured interview

Question 2

What is the principal methodological value of a critical-incident interview?

A. It eliminates recall problems

B. It guarantees factual verification

C. It connects abstract judgments to a specific event and sequence

D. It prevents interviewer effects

Correct Answer: C. It connects abstract judgments to a specific event and sequence

Question 3

Why should a supervisor and subordinate often be placed in separate focus groups?

A. Separate groups always produce larger samples

B. Status differences may inhibit disclosure and alter interaction

C. Supervisors cannot participate in qualitative research

D. Focus groups require participants with identical job titles

Correct Answer: B. Status differences may inhibit disclosure and alter interaction

Question 4

Which probe is least leading?

A. Did senior management pressure you to agree?

B. Why did you resist the new policy?

C. What, if anything, influenced your decision?

D. Was the training obviously inadequate?

Correct Answer: C. What, if anything, influenced your decision?

Question 5

A participant describes an event differently now than at the time it occurred. What should the researcher do?

A. Discard the account as invalid

B. Treat the later interpretation as identical to contemporaneous knowledge

C. Distinguish what was known then from what was understood retrospectively

D. Correct the participant using organizational documents

Correct Answer: C. Distinguish what was known then from what was understood retrospectively

Question 6

What is distinctive about focus-group data?

A. They contain no researcher influence

B. They reveal only private individual opinions

C. Interaction among participants becomes part of the evidence

D. They are necessarily more representative than interviews

Correct Answer: C. Interaction among participants becomes part of the evidence

Question 7

Which practice best addresses interviewer effects?

A. Using the same leading probe with every participant

B. Avoiding all follow-up questions

C. Maintaining reflexive notes and reviewing probing patterns

D. Allowing participants to write the final analysis

Correct Answer: C. Maintaining reflexive notes and reviewing probing patterns

Question 8

In the illustrative Meridian case, the label “resistance” was analytically important because it:

A. Was accepted as an objective explanation

B. Referred to several different practices and interpretations

C. Proved that employees rejected technology

D. Made triangulation unnecessary

Correct Answer: B. Referred to several different practices and interpretations

Question 9

Which statement about triangulation is most accurate?

A. All sources must agree for findings to be credible

B. It compares sources or methods and may make disagreement analytically useful

C. It replaces the need for reflexivity

D. It is appropriate only in quantitative research

Correct Answer: B. It compares sources or methods and may make disagreement analytically useful

Question 10

What is a major governance concern when using automated transcription or AI tools with interview recordings?

A. They make all interviews unstructured

B. They prevent participants from using examples

C. Confidential data may be transferred, retained, or inaccurately transcribed

D. They eliminate the need for consent

Correct Answer: C. Confidential data may be transferred, retained, or inaccurately transcribed