APEX-Agents · Management Consulting
Change in Competitor SG&A Spend by Category_Task02_SC
APEX-Agents task Change in Competitor SG&A Spend by Category_Task02_SC in AI Agents for Hospitality Loyalty Strategy. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.
Task prompt
What the agent was asked to do
Analyze the SG&A files to compare the CAGR trends of competitors versus Impact’s US business across 2020–22 and 2022–24. For each SG&A Category, determine the percentage point change in CAGR between these periods, calculating the straight average across competitors and a specific value for Impact US. Tell me the SG&A category where the absolute percentage point difference between Impact’s CAGR change and the competitor average is the greatest. - State the percentage point changes for both Impact and the competitor average. - Identify the category with the largest difference between Impact and competitors. Percentage point outputs should be rounded to the nearest 0.01%. Write out what you find as a message back to me here.
Published trajectories
Agent runs on this task
Curated dual-harness runs (parsed + original sandbox). Best scored run per model.
| Model | Harness | Score | Result | Links |
|---|---|---|---|---|
| GPT-5.5showcase | dual | 0/7 | Fail | Share pagePublic trace |
| Gemini 3.1 Pro | dual | 2/7 | Fail | Share pagePublic trace |
| GPT-5.4 | dual | 7/7 | Pass | Share pagePublic trace |
| GPT-5.4 mini | dual | 7/7 | Pass | Share pagePublic trace |
| GPT-5.4 nano | dual | 7/7 | Pass | Share pagePublic trace |
Grading rubric
Criteria and grader verdict (showcase run)
States that the average competitor percentage point change in Facilities & Admin spend CAGR from 2020–22 to 2022–24 is -18.70%
FailEvidence: <TEXT_RESPONSE> states only “Competitor average CAGR change: +1.43 percentage points” for “U.S. SG&A.” Assessment: The criterion requires stating Facilities & Admin competitor change is -18.70%; this value/category is not stated, so fail.
States that the average competitor percentage point change in General & Administrative spend CAGR from 2020–22 to 2022–24 is 0.92%
FailEvidence: <TEXT_RESPONSE> states only “Competitor average CAGR change: +1.43 percentage points” and does not mention General & Administrative. Assessment: The criterion requires stating General & Administrative competitor change is 0.92%; not present, so fail.
States that the average competitor percentage point change in Sales & Marketing spend CAGR from 2020–22 to 2022–24 is 1.77%
FailEvidence: <TEXT_RESPONSE> states only “Competitor average CAGR change: +1.43 percentage points” and does not mention Sales & Marketing. Assessment: The criterion requires stating Sales & Marketing competitor change is 1.77%; not present, so fail.
States that the percentage point change in Facilities & Admin spend CAGR from 2020–22 to 2022–24 for Impact US is 5.06%
FailEvidence: <TEXT_RESPONSE> says “Impact US CAGR change: +5.60 percentage points” for “U.S. SG&A,” with no Facilities & Admin value. Assessment: The criterion requires stating Facilities & Admin Impact US change is 5.06%; not stated, so fail.
States that the percentage point change in General & Administrative spend CAGR from 2020–22 to 2022–24 for Impact US is 5.14%
FailEvidence: <TEXT_RESPONSE> says “Impact US CAGR change: +5.60 percentage points” and does not mention General & Administrative. Assessment: The criterion requires stating General & Administrative Impact US change is 5.14%; not present, so fail.
States that the percentage point change in Sales & Marketing spend CAGR from 2020–22 to 2022–24 for Impact US is 5.69%
FailEvidence: <TEXT_RESPONSE> says “Impact US CAGR change: +5.60 percentage points” and does not mention Sales & Marketing. Assessment: The criterion requires stating Sales & Marketing Impact US change is 5.69%; not present, so fail.
States that the SG&A category with the largest percentage point difference in change in CAGR from 2020-22 and 2022-24 between Impact US and the average of competitors is Facilities & Admin
FailEvidence: <TEXT_RESPONSE> identifies “Largest divergence category: U.S. SG&A” and repeats “the category ... is U.S. SG&A.” Assessment: The criterion requires identifying Facilities & Admin as the largest difference; the response gives a different category, so fail.