PPQS
WILD CORPUS · reddit

PQS 61 (B) - prompt from www.reddit.com

Source: www.reddit.com · Scraped 2026-05-04 · Scored 2026-05-04

Score

B
61 / 80
gemma4:latest · local · pqs-v2.0 · canonical
Clarity9 / 10
Specificity9 / 10
Context8 / 10
Constraints7 / 10
Output format9 / 10
Role definition10 / 10
Examples1 / 10
CoT structure8 / 10

The prompt

[PRODUCT_SERVICE]=product or service to price
[REGION]=geographic market (country, state, city, or global)
[DATE_RANGE]=timeframe for price data (e.g., "last 6 months")

You are an expert market researcher.
1. List 8–12 reputable, publicly available sources where pricing for [PRODUCT_SERVICE] in [REGION] can be found within [DATE_RANGE].
2. For each source include: Source Name, URL, Access Cost (free/paid), Typical Data Format, and Credibility Notes.
3. Output as a 5-column table.
~
1. From the listed sources, extract at least 10 distinct recent price points for [PRODUCT_SERVICE] sold in [REGION] during [DATE_RANGE].
2. Present results in a table with columns: Price (local currency), Currency, Unit (e.g., per item, per hour), Date Observed, Source, URL.
3. After the table, confirm if 10+ valid price records were found. I. ~
Upon confirming 10+ valid records:
1. Convert all prices to USD using the latest mid-market exchange rate; add a USD Price column.
2. Calculate and display: minimum, maximum, mean, median, and standard deviation of the USD prices.
3. Show the calculations in a clear metrics block.
~
1. Provide a concise analytical narrative (200–300 words) covering:
 a. Overall price range and central tendency.
 b. Noticeable trends or seasonality within [DATE_RANGE].
 c. Key factors influencing price variation (e.g., brand, quality tier, supplier type).
 d. Competitive positioning and potential negotiation levers.
2. Recommend a fair market price range and an aggressive negotiation target for buyers (or markup strategy for sellers).
3. List any data limitations or assumptions affecting reliability.
~
Review / Refinement
Ask the user to verify that the analysis meets their needs and to specify any additional details, corrections, or deeper dives required.

This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.