AI Skill Report Card

Analyzing Business Sentiment Surveys

B74·Oct 14, 2026·Source: Extension-selection
13 / 15

Given raw survey data like "80% neutral/favorable, 4% very unfavorable," produce a narrative insight:

"Business owners expressed remarkable optimism about broader economic conditions. Nearly 80% anticipate either neutral or favorable business conditions over the coming year. Particularly noteworthy is that just 4% expect 'very unfavorable' conditions."

Then bridge to the "so what": don't stop at sentiment—connect it to action. Business owners aren't just hoping, they're doing something. This bridge sentence sets up the next section of findings.

Recommendation▾
Add a bad example (dry stat dump without narrative) alongside the good ones to show contrast explicitly, since 'Common Pitfalls' describes this but doesn't show it concretely
12 / 15

Progress:

  • Step 1: Identify the headline statistic (the most favorable/surprising number)
  • Step 2: Identify the counter-statistic (the smallest/most extreme negative number, to show how small the pessimistic tail is)
  • Step 3: Frame the headline in plain-language sentiment terms ("remarkable optimism," "cautious confidence," etc.)
  • Step 4: Write a bridge sentence connecting sentiment to behavior/strategy
  • Step 5: Pose the original survey question verbatim at the end, as a transition/subheading into supporting data (chart, table, or next section)
Recommendation▾
Clarify how to handle ambiguous or mixed-sentiment data (e.g., majority negative) since all examples skew toward positive/optimistic framing — this is a notable gap given the skill's apparent bias toward 'optimism narratives'
15 / 20

Example 1: Input: Survey data: 62% of owners feel "confident" or "very confident" about hiring in next 6 months; 9% feel "very unconfident." Output:

"Despite tight labor markets, business owners are holding firm on hiring plans. A combined 62% feel confident or very confident about hiring over the next six months, while only 9% report feeling very unconfident. This isn't blind optimism — as later data shows, owners are pairing this confidence with concrete recruiting investments.

How confident are you about your hiring plans over the next 6 months?"

Example 2: Input: Survey data: 45% plan to raise prices, 30% plan to hold steady, 25% plan to cut costs instead. Output:

"Business owners are charting varied paths to protect margins. While 45% plan to raise prices, a meaningful 30% intend to hold prices steady, suggesting many are absorbing cost pressures rather than passing them to customers. The remaining 25% are turning inward, focusing on cost reduction instead.

What pricing strategy do you plan to pursue over the next 12 months?"

Recommendation▾
Workflow steps assume there's always a favorable headline stat and small negative counter-stat available; address what to do when survey data is genuinely negative or neutral overall
  • Lead with the most emotionally resonant statistic, not necessarily the largest one
  • Always pair a positive majority stat with a small minority "pessimism" stat for contrast — it amplifies the optimism narrative
  • Use phrases like "nearly," "just," "a combined," "meaningful" to add texture to raw percentages
  • End each section with a bridge sentence that teases what comes next ("as upcoming findings will reveal...")
  • Close with the literal survey question as a clean transition into a chart/table
  • Keep tone confident and forward-looking, consistent with "ownership of their path forward" framing
  • Don't just list percentages without narrative framing — raw stats without interpretation read as dry data dumps
  • Don't ignore the negative/pessimistic data point — including it (even if small) builds credibility
  • Don't editorialize with unsupported claims (e.g., don't say "owners are thriving" if data only shows neutral sentiment)
  • Don't bury the survey question — it should appear clearly, usually verbatim, to anchor the reader
  • Avoid stacking multiple stats in one sentence without transitions; break into digestible clauses
0
Grade BAI Skill Framework
Scorecard
Criteria Breakdown
Quick Start
13/15
Workflow
12/15
Examples
15/20
Completeness
14/20
Format
14/15
Conciseness
13/15