PR Expert Insights: 2026 Sprinklr Strategies

We’ve all seen the power of an authoritative voice. When seeking to understand complex market shifts or validate a new product concept, nothing beats the insights gleaned from expert interviews with PR professionals. These conversations are not just data collection; they are strategic intelligence gathering, a direct line to the pulse of public perception and media strategy. But how do you actually conduct these interviews effectively, especially when using advanced marketing analytics platforms? I’ll show you how to integrate qualitative insights with quantitative data using the latest features in Sprinklr Modern Research, transforming raw conversations into actionable marketing intelligence.

Setting Up Your Interview Framework in Sprinklr Modern Research

The first, and frankly, most overlooked step is standardizing your data collection. Without a consistent framework, your expert interviews with PR professionals become a jumble of anecdotes rather than a cohesive dataset. Sprinklr Modern Research, in its 2026 iteration, offers powerful tools to structure these qualitative insights right from the start.

1. Create a New Research Project

From your Sprinklr dashboard, navigate to the left-hand menu. Under the ‘Research’ section, click on ‘Modern Research’. This will open the primary research interface. In the top right corner, locate the ‘+ New Project’ button and click it. Give your project a clear, descriptive name like “PR Expert Insights: Q3 2026 Market Trends” and select ‘Qualitative Study’ as the project type. This tells Sprinklr to prepare for unstructured data input, but we’ll add structure ourselves.

2. Design Your Interview Questionnaire

Within your newly created project, you’ll see several tabs. Click on the ‘Questionnaires’ tab. Here, we’ll build the backbone of our interviews. Click ‘+ New Questionnaire’. I always start with a brief introduction explaining the study’s purpose and ensuring confidentiality. Then, for the actual questions, I typically use a mix of question types:

1. Open-Ended Text: For questions like “What are the most significant challenges facing brand reputation management today?” Select ‘Text Input (Long)’.
2. Multiple Choice (Single Select): For categorizing responses, such as “Which industry trend do you believe will have the greatest impact in the next 12 months?” (e.g., AI in content creation, influencer marketing regulations, data privacy concerns). Choose ‘Multiple Choice (Single Select)’ and define your options.
3. Rating Scale: To gauge agreement or perceived importance. For instance, “On a scale of 1 to 5, how critical is proactive crisis communication in your current role?” Use the ‘Likert Scale’ option.

Pro Tip: Don’t make every question open-ended. While valuable, too many can overwhelm both the interviewer and the analysis. Aim for a balance that provides depth without sacrificing comparability. I find that 7-10 core questions, with 3-4 being open-ended, works best for a 30-minute interview.

3. Configure Interviewer Access and Data Capture

Once your questionnaire is complete, go to the ‘Settings’ tab within your project. Under ‘Data Collection Methods’, enable ‘Manual Entry’. This allows your interviewers to directly input responses during or immediately after the call. Crucially, in 2026, Sprinklr has integrated enhanced audio recording and transcription. Under ‘Audio & Transcription’, toggle ‘Enable Interview Recording’ and ‘Enable AI Transcription’. This is a massive time-saver; trust me, manually transcribing even a few interviews will make you question your life choices. This feature alone, according to a recent HubSpot report on marketing tech adoption, saves agencies an average of 15 hours per month on qualitative data processing.

Conducting and Documenting Interviews within Sprinklr

This is where the rubber meets the road. Your preparation will pay off here, ensuring a smooth process for both you and your interviewees.

1. Scheduling and Consent

While Sprinklr doesn’t directly manage scheduling, it’s vital to integrate this step. Use a tool like Calendly to manage your bookings. Before each interview, ensure you obtain explicit consent from the PR professional to record the conversation and use their anonymized insights for your research. A simple email template outlining this is sufficient. I usually send a brief pre-interview email confirming the time, platform (e.g., Zoom, Microsoft Teams), and reiterating the consent for recording and data usage.

2. Recording and Real-time Note-Taking

During the interview, conduct it via your preferred video conferencing tool. Ensure Sprinklr’s audio recording integration is active. You’ll typically see a small Sprinklr icon or notification confirming it’s capturing audio. As the interviewer, open your Sprinklr project, navigate to the ‘Interviews’ section, and click ‘+ New Interview Record’. Select the questionnaire you designed. As you ask questions, input summarized responses into the corresponding fields in real-time. This isn’t about verbatim transcription (the AI handles that), but about capturing key phrases, immediate reactions, and ensuring you hit all your structured points. I had a client last year, a fintech startup, who skipped this step, relying solely on the AI. They missed crucial non-verbal cues that weren’t captured in the transcript but were clearly visible during the call. Real-time notes help contextualize the AI’s output.

3. Leveraging AI for Transcription and Analysis

Once the interview concludes and the recording is uploaded (which Sprinklr often does automatically if integrated with your conferencing tool), Sprinklr’s AI gets to work. Go back to the ‘Interviews’ section. For each completed interview, you’ll see its status update. When it shows ‘Processed’, click on the interview record. You’ll find the full transcript under the ‘Transcript’ tab. But here’s the magic: Sprinklr’s AI will also provide a preliminary sentiment analysis and topic extraction under the ‘AI Insights’ tab. It highlights key themes, identifies positive/negative/neutral sentiment for different sections, and even suggests keywords. This is an incredible starting point for qualitative coding.

Analyzing and Integrating Expert Insights

Now for the real strategic heavy lifting: making sense of all this rich data.

1. Thematic Analysis and Coding

Return to your Sprinklr Modern Research project. Under the ‘Analysis’ tab, you’ll find tools for deeper qualitative analysis. Sprinklr allows you to create custom ‘Tags’ and ‘Categories’. Review the AI-generated themes, but don’t stop there. Manually read through your transcripts (or at least significant portions) and apply your own codes. For example, if multiple PR professionals discuss “the challenges of measuring earned media ROI,” create a tag for ‘Earned Media Measurement’. If another common theme is “the rise of B2B influencer marketing,” create a tag for ‘B2B Influencers’. This structured coding allows you to quantify qualitative data. You can then see, for instance, that 7 out of 10 experts mentioned “AI in content generation” as a critical trend.

Common Mistake: Over-reliance on AI for thematic analysis. While powerful, AI can miss nuance, sarcasm, or context-specific meanings. Always perform a human review and refinement of the AI’s output.

2. Cross-Referencing with Social Listening Data

This is where Sprinklr truly shines for marketing professionals. Navigate back to your main Sprinklr dashboard. Under ‘Listening’, open a relevant ‘Topic Profile’ or create a new one based on the themes emerging from your interviews. For example, if your experts highlighted “sustainability communications” as a key area, set up a listening query for keywords related to sustainability, ESG, greenwashing, etc., across social media, news, and forums. Compare the sentiment and volume of public discourse with the expert opinions. Are consumers talking about sustainability in the same way PR professionals are advising? Are there disconnects? This cross-validation is invaluable. A Nielsen report in 2024 demonstrated that integrating qualitative expert insights with quantitative social data improved campaign predictability by 18%.

3. Generating Reports and Visualizations

Within your Sprinklr Modern Research project, go to the ‘Reports’ tab. Sprinklr offers a suite of customizable visualizations. You can generate word clouds from your open-ended responses, bar charts showing the frequency of different tags, or sentiment trend lines. Combine these with charts from your social listening data in the same report. For example, show a bar chart of “Top 5 PR Challenges” identified by experts, alongside a trend line of social media mentions for those challenges. This tells a powerful story to stakeholders.

Expected Outcome: You should be able to produce a comprehensive report that not only highlights key insights from leading PR specialists but also validates or challenges those insights with real-world public sentiment data. This provides a truly holistic view of the market landscape.

4. Exporting for Advanced Analysis (Optional but Recommended)

For those of us who like to get our hands dirty with more complex statistical modeling, Sprinklr allows robust data export. From your project’s ‘Analysis’ tab, look for the ‘Export Data’ option. You can export your coded qualitative data, including transcripts, tags, and sentiment scores, as a CSV or JSON file. I often pull this into R or Python for advanced natural language processing (NLP) to uncover hidden correlations or build predictive models based on expert sentiment. For example, analyzing how specific keyword usage by PR experts correlates with future brand reputation scores. We ran into this exact issue at my previous firm, where we needed to predict the impact of a new product launch. Sprinklr gave us the raw data, but R allowed us to build a regression model that accurately forecasted media sentiment based on early PR expert feedback.

Harnessing expert interviews with PR professionals through sophisticated platforms like Sprinklr Modern Research isn’t just about gathering opinions; it’s about transforming subjective wisdom into quantifiable, actionable intelligence. By meticulously structuring your interviews, leveraging AI for efficiency, and integrating these insights with broader market data, you gain an unparalleled strategic advantage, allowing your marketing efforts to be not just reactive, but truly visionary. For more on maximizing your impact, check out Earned Media Hub: Maximize Impact in 2026.