Pre-defined Prompts

Analyze the feedback in the current dataset and group related issues into clear categories. Pay particular attention to billing, payments, account access, data loss, security, broken workflows, and other issues that could materially affect customers or revenue.

For each issue:
1. Assign a priority of Critical, High, Medium, or Low.
2. Summarize the problem in one sentence.
3. Report the number and percentage of relevant responses when the data supports it.
4. Identify the affected forms, customer segments, plans, platforms, or journey stages when available.
5. Describe the likely customer and business impact.
6. Include representative feedback excerpts or evidence from the dataset.
7. Explain the evidence behind the priority rating in a short rationale.
8. Recommend a next action and the team best placed to investigate it.

Separate recurring patterns from isolated reports. Do not invent counts, causes, customer attributes, or impact. Clearly label uncertainty and missing information.

Finish with:
- The five issues that need attention first.
- Quick wins that may be resolved with limited effort.
- Issues requiring further investigation before action is taken.

Create a clean, executive-friendly presentation outline for a feedback review meeting using the current dataset and selected date range.

Build the presentation with the following slides:
1. Title, date range, and analysis scope.
2. Executive summary with the three to five most important findings.
3. Response volume, coverage, and data-quality notes.
4. Overall sentiment and meaningful changes during the period.
5. Most-mentioned topics and aspects.
6. Rising or newly emerging issues.
7. Most negative themes and their customer impact.
8. Positive themes, improvements, or customer wins.
9. Breakdown by relevant form, segment, plan, platform, or journey stage when the data supports it.
10. Recommended decisions, owners, and next actions.
11. Appendix with supporting evidence and representative feedback excerpts.

For every slide, provide:
- A concise slide title.
- Three to five presentation-ready bullets.
- The most suitable chart or visual, if applicable.
- The metric or evidence that supports the conclusion.
- Optional speaker notes when context is needed.

Keep the presentation factual and concise. Do not invent comparisons or metrics. If prior-period data is unavailable, state that instead of implying a trend.

Create a detailed drill-down report from the current feedback dataset for the selected date range.

Start with an executive summary, then analyze the data in this order:
1. Overall feedback volume and sentiment.
2. Group-level patterns.
3. Topics within each important group.
4. Aspects driving each important topic.
5. Forms, customer segments, plans, platforms, or journey stages contributing to the pattern when available.
6. Representative responses that explain what customers experienced.

For each significant topic or aspect, include:
- Mention count and share of analyzed responses when available.
- Sentiment and sentiment mix.
- Change over time or versus the previous period when comparison data exists.
- The strongest contributing segments or forms.
- Evidence-backed likely causes; label hypotheses clearly.
- Customer and business impact.
- Recommended follow-up questions or actions.

Use tables for comparisons and rank findings by impact and confidence. Call out anomalies, conflicting signals, small sample sizes, and missing data. End with a prioritized action list and a section titled "What to investigate next."