4. Research, Environmental Scanning and Insight Development

Introduction: Public Relations as an Evidence-Based Practice

Public relations is often described as the management of relationships between organisations and their publics. However, effective relationship management cannot begin with message production alone. Before an organisation decides what to say, through which channel, and with what intended outcome, it must understand the situation in which communication will occur. It must identify relevant publics, examine their expectations and concerns, recognise external forces, and determine how the organisation is currently perceived. This is the role of research, environmental scanning and insight development.

Research gives public relations practice an evidential foundation. It helps practitioners distinguish symptoms from underlying problems, identify opportunities, test assumptions, establish baselines, select appropriate publics, and evaluate outcomes. Environmental scanning extends this process beyond the organisation by examining political, economic, social, technological, legal and environmental developments that may affect reputation and relationships. Insight development then converts collected information into an explanation that can guide strategic decisions.

The distinction between information and insight is central. Information may show that negative comments about a brand have increased. Insight seeks to explain why they have increased, which groups are most concerned, what the concern signifies, and what organisational or communication response is likely to be credible. In this sense, research is not an administrative preliminary to public relations. It is part of strategic decision-making and, when used properly, can influence organisational policy as well as communication.

Learning Objectives

After studying this chapter, students should be able to:

1. Explain the role of formative research in public relations planning.

2. Distinguish between primary and secondary research and between qualitative and quantitative methods.

3. Apply social listening, media analysis, surveys, interviews and focus groups appropriately.

4. Segment audiences using meaningful behavioural, attitudinal and contextual criteria.

5. Use PESTLE and SWOT analysis to interpret an organisation’s environment.

6. Convert evidence into actionable communication insights and problem statements.

7. Assess the validity, reliability, representativeness and limitations of research findings.

8. Apply ethical, legal and professional principles to public relations research.

From Communication Problem to Researchable Question

A communication problem is rarely identical to the first complaint presented by management. A decline in sales, for example, may be attributed to weak publicity, although the deeper issue may be poor service, distribution problems, a product defect or a loss of trust. Similarly, a hostile social-media discussion may reflect not a failure of message visibility but a legitimate concern about organisational conduct. Research prevents practitioners from treating every organisational difficulty as a communication deficiency.

A useful starting point is to distinguish three levels of analysis:

• The organisational situation: What has happened, and what organisational conditions contribute to it?
• The public relationship: Which publics are affected, involved or influential, and how do they interpret the situation?
• The communication task: What change in knowledge, attitude, behaviour, relationship quality or organisational responsiveness is required?

Research questions should be specific enough to guide method selection. “What do people think about the organisation?” is too broad. Better questions might include: “Which concerns explain declining trust among urban first-time users?” or “How do local residents interpret the organisation’s environmental claims compared with its observable practices?” A clear research question also prevents the collection of data that are interesting but strategically irrelevant.

Formative and Summative Research

Formative research is conducted before or during planning. It describes the situation, identifies publics, explores perceptions, tests assumptions and helps determine strategy. Summative research is conducted after implementation to assess outputs, outtakes, outcomes and, where appropriate, organisational impact. This chapter focuses primarily on formative research, although the two forms should be connected. A baseline established during formative research makes later evaluation more meaningful.

The distinction between outputs, outtakes and outcomes is particularly important. Outputs are the communication products delivered, such as media releases, events or posts. Outtakes describe what publics received or understood, including awareness and message comprehension. Outcomes concern changes in attitudes, behaviours, relationships or organisational conditions. Research should not assume that a large number of outputs automatically produces meaningful outcomes.

The Evidence Architecture of Public Relations Research

Research methods are often classified along two dimensions: primary versus secondary, and qualitative versus quantitative. These categories overlap but are not interchangeable.

Primary research involves collecting new data for a particular decision. Examples include a survey commissioned for a reputation issue, interviews with employees, or a focus group with affected residents. Primary research can be closely tailored to the problem, but it usually requires time, resources and careful design.

Secondary research uses existing material, such as government statistics, academic studies, industry reports, previous organisational research, customer-service records, annual reports, platform analytics and news archives. Secondary research is often the most efficient first step. It may reveal patterns and prevent the organisation from asking questions that have already been answered. Its limitations include uncertain quality, different definitions, outdated data and lack of access to the original sampling process.

Qualitative research explores meaning, interpretation, motivation and experience. It is especially useful when the problem is poorly understood or when practitioners need to learn how publics frame an issue in their own language. Interviews, focus groups, observation, diary studies and open-ended social listening are common qualitative approaches.

Quantitative research measures frequency, distribution, association or change using numerical data. Surveys, experiments, media-content counts, web analytics and statistical analysis are typical examples. Quantitative evidence can estimate how widespread a view is, provided the sample and measurement are sound.

The strongest research design is not necessarily the one with the most data. It is the one that matches the question. Qualitative methods can explain why a perception exists but cannot, by themselves, establish how common it is in a wider population. A survey can estimate prevalence but may fail to reveal meanings that researchers did not anticipate. Combining methods, known as triangulation, allows one source to illuminate or challenge another.

Core Methods and Their Strategic Uses

Social Listening

Social listening is the systematic monitoring and interpretation of conversations across digital platforms, online communities, review sites, blogs, forums and other publicly accessible spaces. It differs from simple monitoring. Monitoring records mentions; listening examines themes, sentiment, actors, narratives, intensity, context and possible implications.

A professional social-listening process begins by defining the issue and search terms. These may include the organisation’s name, product names, campaign language, executive names, competitor references, common misspellings and relevant issue terms. Researchers should then identify the source and type of conversation. A complaint from a verified customer, a journalist’s post, an employee discussion and an automated account should not be treated as equivalent evidence.

Sentiment classification can be useful for identifying broad patterns, but automated sentiment is not a substitute for interpretation. Sarcasm, multilingual expression, cultural references and issue-specific language can produce inaccurate classifications. More valuable than a single positive or negative score is an analysis of recurring narratives: for example, “the organisation makes ambitious promises but does not explain how progress is measured.”

Social listening has several limitations. Online participants are not a representative sample of all stakeholders; platform algorithms influence visibility; coordinated activity can distort apparent volume; and public expression may reflect immediate emotion rather than considered opinion. Social listening should therefore be integrated with other evidence rather than presented as a complete account of public sentiment.

Media Analysis

Media analysis examines how an organisation, issue or industry is represented in news and other editorial channels. It may measure volume, prominence, reach, source diversity, key messages, tone, issue frames, spokesperson visibility and the presence of competing narratives.

A basic media-analysis codebook should define categories before coding begins. For example, “negative coverage” should be distinguished from coverage that merely reports a negative event. Researchers may code whether the organisation’s response is included, whether the article relies on official sources, whether affected groups are quoted, and whether the issue is framed as a technical, ethical, political or community matter.

Quantitative media counts can show changes in coverage, but counts alone do not establish reputation or influence. One prominent investigative article may matter more than numerous brief mentions. Media analysis should therefore consider prominence, credibility, audience relevance and framing. Comparing organisational messages with the language used by journalists and stakeholders can reveal gaps between intended positioning and external interpretation.

Surveys

Surveys are appropriate when practitioners need structured responses from a relatively large number of people. They can measure awareness, trust, knowledge, issue salience, behavioural intention, satisfaction or perceived organisational responsibility.

Good survey design requires a defined population, a defensible sampling approach, clear constructs and neutral questions. A question such as “How much do you agree that our excellent sustainability programme deserves greater recognition?” combines a leading description with an invitation to agree. A better design separates awareness, evaluation and recognition. Response options should be balanced, mutually understandable and, where appropriate, include “don’t know” or “not applicable.”

Researchers must distinguish a probability sample from a convenience sample. In a probability sample, members of the defined population have a known chance of selection, supporting statistical generalisation. A convenience sample, such as followers responding to an online post, may be useful for exploratory feedback but cannot automatically represent all stakeholders. Sample size is important, but a large biased sample remains biased.

Validity concerns whether the research measures what it claims to measure. Reliability concerns consistency of measurement. A reputation scale that produces stable results but captures only familiarity has reliability without adequate validity. Pretesting helps identify ambiguous wording, excessive length, technical problems and response patterns.

Interviews

Interviews provide depth and allow the researcher to explore experiences, interpretations and motivations. They are especially valuable for reaching information-rich participants, such as community leaders, employees, regulators, journalists, service users or subject experts.

Semi-structured interviews use a guide while allowing probing questions. The interviewer should avoid turning the interaction into a sales conversation or seeking confirmation of management’s preferred explanation. Questions should move from experience to interpretation and then to implications: “What happened?”, “How did you interpret it?”, “What would a credible response look like?” Interview data require systematic analysis through coding, comparison and identification of themes. Selective quotation without attention to the wider pattern can misrepresent participants.

Focus Groups

Focus groups generate interaction among participants. They are useful for exploring language, reactions to draft messages, symbolic associations and differences in interpretation. The group dynamic may reveal disagreements that individual interviews do not produce.

However, focus groups are not miniature surveys. Participants may conform to dominant opinions, defer to confident speakers or perform socially desirable identities. Sensitive topics may be better examined through individual interviews. Group composition, moderation and the physical or digital setting influence the data. A skilled moderator keeps discussion focused without suppressing unexpected perspectives.

Observation and Organisational Records

Observation can reveal behaviour that respondents do not remember or do not report accurately. Researchers may examine customer journeys, service encounters, event participation or workplace communication. Organisational records—complaint logs, call-centre transcripts, employee surveys, website search data and stakeholder correspondence—can identify recurring problems. These sources should be interpreted carefully because records reflect what was documented, not necessarily everything that occurred.

Audience Segmentation and Public Prioritisation

The term “the public” is too undifferentiated for strategic public relations. Stakeholders differ in their exposure to an issue, level of interest, power, knowledge, values and capacity to act. Segmentation divides a broad population into groups that are meaningfully different for communication or relationship purposes.

Demographic segmentation may be useful, but age, gender or income rarely explain communication behaviour by themselves. More strategically relevant bases include:

• Behavioural: usage, participation, complaint history, advocacy or avoidance.
• Attitudinal: trust, perceived risk, values, motivations and issue positions.
• Geographic or contextual: location, exposure to local effects, access conditions or regulatory environment.
• Relational: employees, customers, investors, regulators, journalists, community groups or partners.
• Issue involvement: degree to which a group recognises a problem, feels affected and is prepared to act.

Segmentation should be actionable and evidence-based. A segment is useful when it has a distinct need or interpretation, can be reached appropriately, and warrants a differentiated response. Publics can also change over time. A previously passive group may become active when a triggering event increases personal relevance or provides a channel for collective action.

Prioritisation is not the same as ignoring less powerful publics. A stakeholder map may assess influence, legitimacy, urgency, vulnerability and the organisation’s dependence on the relationship. Ethical practice requires attention to publics that may have limited institutional power but experience substantial impact.

Environmental Scanning: Reading the Context Around the Organisation

Environmental scanning is the organised collection and interpretation of information about forces outside the organisation that may create threats or opportunities. It supports issue anticipation rather than merely crisis reaction.

PESTLE Analysis

PESTLE examines six broad dimensions:

• Political: government priorities, public policy, elections, geopolitical relations and political contestation.
• Economic: inflation, employment, purchasing power, investment conditions and industry structure.
• Social: demographic change, cultural values, lifestyles, social movements and changing expectations.
• Technological: platforms, artificial intelligence, data systems, automation, cybersecurity and media practices.
• Legal: legislation, regulation, litigation, disclosure requirements, privacy and intellectual property.
• Environmental: climate risk, resource use, pollution, biodiversity, public health and environmental expectations.

PESTLE is not a list-making exercise. Its value lies in connecting external changes to stakeholders, organisational decisions and communication implications. For example, a new disclosure requirement may be a legal development, but its public-relations significance may involve investor trust, media scrutiny, data capability and the credibility of environmental claims.

SWOT as a Synthesis Tool

SWOT identifies internal strengths and weaknesses and external opportunities and threats. Strengths and weaknesses are usually within the organisation’s influence; opportunities and threats arise primarily from the environment. The framework is most useful after research has been conducted. It should not become a collection of vague adjectives such as “strong brand” or “high competition.” Each statement should be supported by evidence and linked to a decision.

A strength may be trusted technical expertise, while a weakness may be slow response procedures. An opportunity may be a growing public interest in transparent product information, while a threat may be activist scrutiny resulting from an inconsistency between claims and performance. SWOT does not determine strategy automatically. It helps decision-makers consider how strengths can address opportunities, how weaknesses expose the organisation to threats, and what capability gaps require action.

Scenario planning, issue mapping and competitor analysis can complement PESTLE and SWOT. Scenario planning asks how different combinations of external developments might affect the organisation. Issue mapping traces actors, claims, evidence, alliances and likely escalation paths around a contested issue.

Turning Data into Insight

Insight development is an interpretive process. It requires more than reporting that “52 per cent of respondents expressed concern” or that “coverage increased by 30 per cent.” A useful insight connects evidence to meaning and action.

One practical structure is:

Observation → Interpretation → Implication → Decision.

For example:

• Observation: Employees understand the organisation’s purpose statement but cannot identify how senior decisions reflect it.
• Interpretation: The problem is not awareness of the statement; it is a credibility gap between symbolic language and lived organisational experience.
• Implication: Repeating the purpose statement is unlikely to build trust.
• Decision: Communication should be linked to visible managerial behaviour, internal listening and evidence of change.

A strong insight is specific, non-obvious, evidence-based and actionable. It should identify a tension or unmet need. “Young people use social media” is an observation. “Students distrust institutional sustainability claims when evidence is presented as polished promotion rather than independently verifiable progress” is closer to an insight, provided research supports it.

Research findings should be synthesised across sources. A survey may indicate declining trust; interviews may explain that delayed complaint responses create the decline; media analysis may show that journalists repeat the same service failures; and organisational records may reveal that complaints are routed between departments. Together, these sources support a more robust diagnosis than any single result.

A research report should normally communicate the decision context, research questions, methods, sample or source base, major findings, limitations, implications and recommended actions. It should separate evidence from interpretation and clearly identify uncertainty. Visualisations should clarify patterns rather than exaggerate them. Senior decision-makers need concise conclusions, but concision must not conceal methodological weaknesses.

Applied Case: Rebuilding Trust in a Municipal Water Utility

Background

The following is an illustrative case. Rivermark Water, a fictional municipal utility, experienced declining public trust after several service interruptions and a widely shared video showing discoloured water in a residential area. The utility proposed a public information campaign explaining infrastructure investment and water-quality standards.

Situation and Problem

Senior managers believed the problem was insufficient public awareness of the utility’s investment programme. They requested a campaign focused on technical achievements. The public relations team recognised that the proposed solution might address information availability without addressing the basis of distrust.

The team defined the research problem as follows: What factors are driving distrust among affected residents, and what organisational and communication responses would be considered credible?

Analysis and Approach

The team began with secondary research, reviewing complaint records, service-disruption logs, regulatory reports and previous customer surveys. It then conducted social listening across local community groups and public posts, coded regional news coverage, interviewed local journalists and community representatives, and held four focus groups with residents from areas experiencing different levels of disruption. A short survey was subsequently administered to estimate the prevalence of themes identified qualitatively.

The evidence showed that residents did know the utility was investing in infrastructure. The central concern was uncertainty: people did not know when interruptions would end, whom to contact, or whether the utility acknowledged the unequal burden placed on particular neighbourhoods. Media analysis showed that official statements emphasised compliance with standards, while residents discussed inconvenience, responsiveness and respect. Complaint records revealed repeated transfers between departments, reinforcing the perception that the utility was difficult to reach.

PESTLE analysis identified stricter expectations for public disclosure, increased local political attention and growing digital mobilisation by neighbourhood groups. SWOT analysis identified technical expertise and access to reliable operational data as strengths, but slow public response and fragmented customer-service ownership as weaknesses.

Strategy and Solution

The research team recommended that communication not be treated as a substitute for service improvement. The utility established a single disruption-information page, introduced neighbourhood-level updates, assigned responsibility for responding to community questions, and published a plain-language explanation of testing and restoration procedures. It also created a resident advisory panel and committed to reporting progress against specific service indicators.

The campaign used technical evidence, but placed it within a broader accountability narrative. Messages answered four practical questions: What happened? Who is affected? What is being done now? How will residents know whether improvement has occurred? Local briefings and direct digital updates complemented media relations.

Outcome

In the short term, the utility observed higher use of the disruption-information page and fewer repeated inquiries about restoration schedules. Follow-up research was designed to assess trust, perceived responsiveness and confidence in the information—not merely media coverage. The case does not claim that communication alone restored trust. Its central lesson is that credible public relations required changes in information systems, responsibility and organisational responsiveness alongside messages.

Learning Points

The case demonstrates five principles. First, management’s initial explanation may be incomplete. Second, mixed methods can connect prevalence with meaning. Third, environmental scanning helps identify pressures beyond the immediate incident. Fourth, insight may require organisational action rather than better wording. Finally, research creates value when it changes decisions, not merely when it produces a sophisticated report.

Limitations, Risks and Common Errors

Research in public relations is vulnerable to confirmation bias: managers may favour findings that support an existing campaign. Other common errors include asking leading questions, relying on unrepresentative online respondents, treating media volume as reputation, confusing correlation with causation, overinterpreting small differences, and presenting automated sentiment scores as objective truth.

Time pressure can encourage superficial research, particularly during crises. Yet speed does not eliminate the need to state uncertainty. Rapid research can use available records, targeted interviews and continuous monitoring, while clearly distinguishing preliminary findings from validated conclusions.

Researchers should also avoid false precision. A percentage with several decimal places does not make a weak sample more credible. Nor does a dashboard create insight automatically. Data quality, collection conditions, coding decisions and interpretation must remain visible.

Ethics, Governance and Professional Responsibility

Public relations researchers have obligations to participants, publics and the commissioning organisation. Informed consent should explain the purpose of research, participation requirements, use of data and, where relevant, limits to confidentiality. Sensitive information should be collected only when necessary and stored securely. Personal data should be processed lawfully, proportionately and for a defined purpose.

Researchers must not disguise promotional activity as independent research, manipulate findings to obtain a preferred decision, fabricate respondents, selectively report favourable results or expose vulnerable participants to avoidable harm. When researching employees, customers or communities with unequal power, participation must not be coerced.

Digital research raises additional questions. Publicly accessible content is not automatically ethically unrestricted. Researchers should consider context, reasonable expectations of privacy, platform rules, the risk of identifying individuals and the potential consequences of quoting sensitive material. Artificial-intelligence tools used for transcription, coding or sentiment analysis require human oversight, data-protection safeguards and checks for cultural or linguistic bias.

Governance also includes documentation. A defensible project records research questions, sampling decisions, instruments, coding rules, data handling procedures and limitations. This enables review, replication where appropriate and responsible challenge.

Digital Tools, Analytics and Emerging Developments

Public relations teams increasingly use dashboards that combine media databases, social listening, web analytics, customer-service data and survey results. Natural-language processing can assist with topic clustering, entity recognition and preliminary coding. Predictive analytics may identify emerging issues or unusual changes in conversation volume.

These tools are most useful when they augment professional judgement. Automated systems may misclassify irony, privilege high-volume voices, reproduce training-data bias or obscure the difference between visibility and importance. Generative AI can help draft interview guides, organise transcripts or suggest hypotheses, but it should not invent evidence or replace source verification. Sensitive organisational or personal data should not be entered into systems without approved safeguards.

Emerging practice is moving toward continuous intelligence: integrating weak signals, stakeholder feedback, search behaviour, media narratives and operational data rather than conducting isolated annual surveys. This approach can support early issue detection, but it also increases the risk of surveillance, data overload and constant reaction. Strategic teams must decide which signals matter and what threshold justifies action.

Best Practices for Insight-Led Public Relations

Effective research and scanning are more likely when practitioners:

1. Begin with a decision or problem, not with a preferred method.

2. Define publics and the relevant population before collecting data.

3. Use secondary research before commissioning expensive primary research.

4. Combine qualitative depth with quantitative assessment when appropriate.

5. Pretest survey instruments, interview guides and coding schemes.

6. Triangulate evidence and investigate contradictions rather than hiding them.

7. Separate observation, interpretation, recommendation and uncertainty.

8. Connect insights to organisational action as well as communication.

9. Protect participant dignity, privacy and safety.

10. Establish baseline measures so that later evaluation is meaningful.

11. Treat dashboards and AI outputs as aids to judgement, not as judgement itself.

12. Report limitations honestly to preserve professional credibility.

Chapter Summary

Research provides the evidence base for public relations decision-making. Formative research helps practitioners understand situations, publics, perceptions and organisational conditions before communication strategies are finalised. Primary and secondary research, qualitative and quantitative methods serve different purposes and are often most powerful when combined.

Social listening identifies digital narratives but must be interpreted in context. Media analysis examines volume, prominence, sources and framing. Surveys estimate patterns when sampling and measurement are sound, while interviews and focus groups explore meanings and motivations. Audience segmentation enables differentiated and ethical prioritisation of publics.

Environmental scanning places communication issues within wider political, economic, social, technological, legal and environmental contexts. PESTLE helps identify external forces, while SWOT synthesises internal capabilities and external conditions. Insight development transforms observations into interpretations and decisions. The most valuable research may reveal that a communication problem is partly an organisational problem requiring changes in behaviour, systems or policy.

Research quality depends on validity, reliability, transparency, ethical governance and responsible interpretation. Digital analytics and AI can support continuous intelligence, but they introduce risks of bias, surveillance and false precision. Evidence-led public relations is therefore not simply data-rich practice; it is disciplined, ethical and strategically interpretive practice.

Key Terms

Formative research: Research conducted before or during planning to understand a situation, publics and strategic needs.

Summative research: Research used to evaluate communication outputs, outtakes, outcomes or organisational effects.

Primary research: New data collected for a specific research purpose.

Secondary research: Analysis of data or documents previously collected by another party or for another purpose.

Qualitative research: Research exploring meanings, experiences, interpretations and motivations.

Quantitative research: Research using numerical measurement to identify patterns, distributions or relationships.

Triangulation: The use of multiple methods or sources to strengthen interpretation and test consistency.

Social listening: Systematic monitoring and interpretation of public digital conversations.

Media analysis: Structured examination of media coverage, including volume, prominence, sources, tone and framing.

Validity: The extent to which a method measures the concept it claims to measure.

Reliability: The consistency of a measurement process or instrument.

Audience segmentation: Division of a broad population into meaningful groups with relevant differences.

Environmental scanning: Systematic examination of external forces that may affect an organisation and its relationships.

PESTLE analysis: A framework examining political, economic, social, technological, legal and environmental factors.

SWOT analysis: A framework identifying internal strengths and weaknesses and external opportunities and threats.

Insight: An evidence-based interpretation that reveals a meaningful issue, tension or opportunity and guides action.

Baseline: An initial measure used for comparison during later evaluation.

Issue framing: The way an issue is defined, interpreted and presented by organisations, media or publics.

Review Questions

Short Answer Questions

1. What is the difference between formative and summative research?

2. Why is social listening more than counting online mentions?

3. Distinguish validity from reliability in survey research.

4. Identify the six dimensions of PESTLE analysis.

5. What is meant by triangulation in public relations research?

Long Answer Questions

1. Explain how a public relations practitioner can move from an organisational problem to a researchable question.

2. Compare surveys, interviews and focus groups in terms of their strategic uses and limitations.

3. Discuss the role of audience segmentation in public relations planning and public prioritisation.

4. Explain how PESTLE and SWOT analysis can be used together to support strategic decision-making.

5. Discuss the ethical and methodological risks associated with digital research, automated sentiment analysis and artificial intelligence.

Analytical / Application Questions

1. A university receives criticism that its sustainability campaign is “greenwashing.” Design a mixed-method formative research plan and explain what each method would contribute.

2. A consumer brand has experienced a sharp increase in negative online comments, but sales have remained stable. Develop an analytical framework to determine whether the issue is reputational, service-related, politically motivated or temporary.

3. Using the Observation–Interpretation–Implication–Decision structure, convert the following finding into a strategic insight: “Employees know the organisation’s values statement, but most cannot identify a recent management decision that reflects it.”

22. Multiple Choice Questions with Answers

Question 1

Which research activity is most clearly formative?

A. Comparing post-campaign awareness with the baseline

B. Exploring why a stakeholder group distrusts an organisation before planning communication

C. Counting the number of media releases distributed

D. Calculating the return on a completed campaign

Correct Answer: B. Exploring why a stakeholder group distrusts an organisation before planning communication

Question 2

What is the main strategic weakness of treating an automated sentiment score as a complete measure of public opinion?

A. It produces numerical data

B. It cannot be displayed in a dashboard

C. It may miss context, sarcasm, representativeness and issue meaning

D. It requires secondary research

Correct Answer: C. It may miss context, sarcasm, representativeness and issue meaning

Question 3

A researcher wants to estimate how widespread a concern is after first exploring its underlying meanings. Which design is most appropriate?

A. Use only a focus group

B. Use only media monitoring

C. Conduct interviews or focus groups followed by a well-designed survey

D. Replace research with management opinion

Correct Answer: C. Conduct interviews or focus groups followed by a well-designed survey

Question 4

Which statement best illustrates a useful public relations insight?

A. The organisation received 10,000 online mentions

B. Young adults use several social-media platforms

C. Media coverage increased during the month

D. Residents distrust technical claims because the organisation does not provide timely, local evidence of improvement

Correct Answer: D. Residents distrust technical claims because the organisation does not provide timely, local evidence of improvement

Question 5

Which factor is an external threat in a SWOT analysis?

A. A fragmented internal approval process

B. Trusted technical expertise

C. Growing activist scrutiny after inconsistent environmental claims

D. A skilled internal research team

Correct Answer: C. Growing activist scrutiny after inconsistent environmental claims

Question 6

Why should a convenience sample of an organisation’s social-media followers not automatically be treated as representative?

A. Followers never provide useful information

B. The sample may systematically differ from the wider stakeholder population

C. Online surveys cannot contain open-ended questions

D. Convenience samples are always too small

Correct Answer: B. The sample may systematically differ from the wider stakeholder population

Question 7

In the illustrative Rivermark Water case, what did research identify as the central trust problem?

A. Residents had never heard of infrastructure investment

B. Residents rejected all technical information

C. Residents experienced uncertainty, poor responsiveness and unclear accountability

D. Journalists refused to cover water issues

Correct Answer: C. Residents experienced uncertainty, poor responsiveness and unclear accountability

Question 8

Which sequence best represents the insight-development structure used in the chapter?

A. Decision, observation, promotion, evaluation

B. Observation, interpretation, implication, decision

C. Survey, publicity, advertising, sales

D. Output, budget, channel, slogan

Correct Answer: B. Observation, interpretation, implication, decision

Question 9

Which practice best protects the quality of a survey instrument?

A. Using leading questions that support management’s preferred position

B. Removing “don’t know” options from every question

C. Pretesting wording, response options and length before full administration

D. Increasing decimal places in the final percentages

Correct Answer: C. Pretesting wording, response options and length before full administration

Question 10

What is the most appropriate ethical response when analysing sensitive content from a public online community?

A. Assume public visibility removes all ethical obligations

B. Publish usernames to increase credibility

C. Consider context, privacy expectations, identification risks and potential harm

D. Use only the comments that support the organisation’s position

Correct Answer: C. Consider context, privacy expectations, identification risks and potential harm