Here are some of the best questions for a Power User survey about reporting needs, plus smart tips for crafting them. We’ve seen that you can build a conversational survey with Specific in seconds—saving you time and improving insights.
Best open-ended questions for Power User survey about reporting needs
Open-ended questions let power users go deep, sharing detailed feedback that you’d never get from a checklist. They’re great for surfacing unmet needs, priorities, and pain points—in their own words—especially when you need context for reporting features or workflows.
What are the biggest challenges you face with our current reporting tools?
Can you walk us through your typical process for creating or customizing reports?
Which types of data or insights do you wish you could access but can’t today?
What’s one reporting feature or improvement that would make your workflow significantly better?
How do you currently share or present reports, and what obstacles do you encounter?
What’s your most frequent reporting task, and how could it be faster or easier?
Can you describe a recent instance when our reporting didn’t meet your needs?
How do you combine data from different sources, if needed?
What’s your biggest frustration when trying to get actionable insights from our system?
Is there anything missing in our reporting suite that you’ve seen or used in other tools?
Open questions often spark new ideas, which is crucial since AI-powered surveys surface accurate and actionable feedback by picking up on patterns in responses quickly. This leads to more relevant reporting enhancements for power users. [1]
Best single-select multiple-choice questions for Power User survey about reporting needs
Single-select multiple-choice questions are perfect when you need to quantify sentiment, rank priorities, or lower the entry barrier—some respondents find it easier to pick an option before providing detailed feedback. It’s ideal to use them early in the survey to get high-level data, then dig deeper with follow-ups.
Question: Which reporting format do you use most often?
Dashboards
PDF exports
Scheduled email reports
Excel/CSV downloads
Other
Question: How satisfied are you with the current customization options in reporting?
Very satisfied
Somewhat satisfied
Neutral
Somewhat dissatisfied
Very dissatisfied
Question: Which area needs the most improvement in our reporting solution?
Data accuracy and freshness
User interface and usability
Export and sharing features
Visualization and chart types
Other
When to followup with "why?" Ask "why?" when you want to understand the reasoning behind the selection—for example, if a power user chooses "Visualization and chart types," a follow-up like “What would you change about the visualizations?” makes their choice actionable. These conversational follow-ups are where AI excels, keeping users engaged and drawing out real needs.
When and why to add the "Other" choice? Always add "Other" if your listed choices may not capture every scenario. Asking a follow-up (“Can you describe what ‘Other’ means for you?”) uncovers insights you didn’t think to ask. Unexpected feedback often guides roadmaps or prioritization.
NPS-style question for power user reporting feedback
The Net Promoter Score (NPS) is a quick way to measure whether power users would recommend your reporting features to peers—a good proxy for satisfaction, loyalty, and future adoption. In reporting needs surveys, it reveals not just satisfaction but can hint at churn risk or highlight champions for beta testing.
Example prompt: “How likely are you to recommend our reporting tools to a colleague?” (0–10 scale, followed by a “why?”)
If you’re interested in launching this quickly, you can generate an NPS survey for power users about reporting needs instantly in Specific and customize the follow-up questions for detractors, passives, and promoters to probe context and suggestions.
The power of follow-up questions
Smart follow-up questions make surveys conversational, personal, and far more insightful than a static form. Specific’s automated AI follow-ups ask clarifying or probing questions dynamically, based on what each power user says. This approach is proven to increase survey completion rates (up to 70–90% with AI-powered surveys vs. just 10–30% for traditional ones), while surfacing richer, relevant insights—fast. [1]
Power user: “I find exporting data frustrating.”
AI follow-up: “Can you share an example when exporting didn’t work as expected—or what would make it easier for you?”
Without follow-ups, you’d be stuck with vague comments like “frustrating”—making it impossible to fix the core issue or communicate improvements that move the needle. Fast clarifications help avoid email ping-pong and keep power users engaged in the survey, rather than losing momentum.
How many followups to ask? We’ve found that 2–3 follow-ups are usually enough to get the extra context; Specific’s settings let you fine-tune this, stopping once you’ve gathered all the details you need, or skipping ahead if the feedback is clear early on.
This makes it a conversational survey—the survey becomes more of a dialogue, which keeps users engaged and increases completion and quality.
AI survey response analysis: Even with lots of open feedback and probing replies, AI makes it simple to analyze and distill insights at scale, pulling key topics and actionable suggestions from unstructured answers automatically.
Automated follow-ups are a new standard—try creating a conversational survey and see just how much better the experience (and the results) can be.
Prompting ChatGPT or other AIs to generate reporting survey questions
ChatGPT and other GPT-based tools are fantastic partners for brainstorming reporting survey questions. Start simple to get a rough draft, then iterate with context:
Ask:
Suggest 10 open-ended questions for Power User survey about Reporting Needs.
But AI truly shines when you provide background. For richer, targeted questions, specify your audience, reporting use case, and product goals:
We build internal analytics tools for SaaS. Our power users manage large teams and need advanced reporting. Suggest 10 open-ended questions for a survey to uncover top pain points and must-have features in reporting.
Next, refine the brainstorm:
Look at the questions and categorize them. Output categories with the questions under them.
From there, choose the categories that matter most (for example, “data accuracy,” “user workflow,” or “exporting”), then dig deeper:
Generate 10 questions for categories Data Visualization and Automation in reporting.
Prompt iteration like this gets you 90% of the way to an expert-designed, actionable survey tailored to your reporting context—and you can always tweak or edit with tools like Specific’s AI survey editor.
What is a conversational survey?
A conversational survey is exactly what it sounds like—a back-and-forth chat rather than a static form. Each question is delivered in natural language, with the AI adapting, clarifying, and probing for more context based on how a power user responds. This method feels more like a 1:1 interview than filling out a form, which dramatically boosts engagement, completion, and data quality.
The difference between traditional surveys and AI-driven, conversational surveys is clear—and data backs this up. AI survey completion rates are often 2–3x higher, and response abandonment drops by half. Plus, analysis happens in hours, not days or weeks. [1]
Manual Surveys | AI-Generated Surveys |
|---|---|
Static, one-size-fits-all questions | Personalized, context-aware probing |
Low completion rates | 70-90% completion rates |
Responses take days/weeks to analyze | Insights delivered in minutes/hours |
Little respondent engagement | Feels like a natural conversation |
Why use AI for Power User surveys? Power users expect efficiency and want feedback to be quick, contextually smart, and actionable. With AI, you deliver an interactive, best-in-class experience that meets these expectations and saves you analysis time—while capturing actionable themes for product, growth, or UX teams.
For step-by-step guidance, see our article on how to create a survey for power users about reporting needs with Specific’s AI survey generator.
Specific leads in user experience for conversational surveys, making the feedback process smoother and more engaging for both creators and respondents. Every insight comes from an authentic dialog—not just checkboxes and static forms.
See this reporting needs survey example now
See how AI-driven conversational surveys capture richer, more actionable feedback from power users about reporting needs, with higher completion rates and faster insights—start now for results that instantly move your roadmap forward.