The Scenario
You are a content team lead and your team just built a FAQ bank of 60 questions in an Excel workbook. The questions came from customer support tickets, sales call recordings, and a product survey. Column A is full. Column B is empty. The task: generate a concise, research-backed answer for every question before the support team starts using the doc next Monday.
The bad version:
- Read the first question, draft an answer from memory, check one source to make sure the answer is accurate, write it into column B.
- Move to question two. Realize this one requires more research. Open three tabs, read, synthesize, write.
- Hit question 20 and realize you have been doing this for two hours and there are 40 questions left.
Sixty questions with accurate, sourced answers is a real body of work. Doing it sequentially, one question at a time, treats a batch problem as a serial one.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the full question list and through its built-in Parallel integration calls the chat completions API for every row in one batch, collecting research-backed answers and writing them into column B.
Use the Parallel chat completions API to generate a concise, research-backed answer for each FAQ question in column A and write the answers into column B. Process all 60 rows in one batch.
What You Get
- Column B filled with a concise answer for each of the 60 questions.
- Answers grounded in Parallel's web research, not generated from static training data alone.
- All 60 results written back in one pass rather than one at a time.
- Any question where Parallel returned an empty or low-confidence answer flagged in column C, so the content team knows which rows need a human review pass.
What If the Data Is Not Quite Ready
Some questions are duplicates or near-duplicates from different ticket sources
Before running the Parallel batch, check column A for duplicate or near-duplicate questions. For any question that is substantially the same as an earlier row, write Duplicate in column C and skip it in the batch. For all unique questions, call the Parallel chat completions API and write the answer into column B.
Questions span multiple product areas and you want answers scoped to the right product
For each question in column A, check column D for the product area tag (e.g., Billing, Integrations, Onboarding). Include the product area tag as context when calling the Parallel chat completions API so the answer is scoped to that product area. Write the answer into column B.
You want answers in multiple languages for an international support team
For each question in column A, call the Parallel chat completions API twice: once to generate an English answer and once to generate a Spanish answer. Write the English answer into column B and the Spanish answer into column C.
You want answer generation, quality scoring, and gap identification in one shot
Call the Parallel chat completions API for each question in column A and write the answer into column B. After all answers are generated, score each answer on a 3-point scale: 3 if the answer is specific and cites or implies a source, 2 if the answer is general but accurate, 1 if the answer is vague or uncertain. Write the score into column C. Then identify the 5 lowest-scoring answers and write a suggested follow-up research query for each into column D.
The pattern: batch answer generation plus quality scoring plus remediation suggestions in one prompt — so the FAQ document ships ready, not just populated.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a column of FAQ questions or open-ended prompts, then ask it to generate research-backed answers for every row using the Parallel chat completions API. You can also look at how to batch research companies or return to the Parallel overview.