The Scenario
Your sales enablement team maintains an Excel workbook with 30 prospect persona descriptions — built up over six months from discovery calls, customer interviews, and deal reviews. Each row in column A is a paragraph describing a persona: industry, role, pain points, buying context, what they're skeptical about.
The workbook exists to help reps open calls better. But right now it's a reference document, not a tool. Reps read the persona, think about how to start the call, and improvise. Some are good at it. Most aren't.
You want three tailored conversation starters per persona, ready to copy-paste into the playbook. That's 90 generated openers.
The bad version:
- Open Convolo.ai, paste persona description 1 into the character generation interface, wait for suggestions, read all three, decide which are good enough, manually type or paste them into columns B, C, and D of your workbook
- Repeat for persona 2 — except now you can't remember if the openers you copied are for row 2 or row 3 because you've switched windows four times
- Finish persona 12, realize Convolo.ai's suggestions for "skeptical procurement lead at a mid-market manufacturer" are too generic because you left out half the context paragraph, go back and redo it
Ninety generated lines across 30 personas. This is a full afternoon, and the output is only as good as how carefully you managed the copy-paste sequence.
The playbook is going to a new cohort of reps next Monday. There isn't room in the schedule for an afternoon of this.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your persona descriptions, understands what Convolo.ai's conversation starter generator expects, and through its built-in Convolo.ai integration it generates three openers per persona and writes them back into the columns you specify.
For each persona description in column A, generate 3 Convolo.ai conversation starter suggestions and write them into columns B, C, and D. Use the full text of each cell in column A as the input.
What You Get
- Column B fills with the first conversation starter for each persona
- Columns C and D receive the second and third suggestions
- Each opener reflects the specific persona context in column A — not a generic opener with a variable swapped in
- Rows where column A is empty are skipped automatically
What If the Data Is Not Quite Ready
Persona descriptions are missing key context fields for some rows
Some personas were written quickly and are missing the "buying context" section that produces the best openers. You can tell which rows because column B (a "completeness" flag your team added) says "needs review."
For each persona in column A where column B does not say "needs review," generate 3 Convolo.ai conversation starter suggestions and write them into columns C, D, and E. Skip rows flagged as "needs review."
Persona descriptions are split across two columns
The workbook was originally built with "role and industry" in column A and "pain points and buying context" in column B. The full context is only useful if both columns are combined.
Combine column A and column B into a single persona description for each row (join with a space), then generate 3 Convolo.ai conversation starters from the combined text and write them into columns C, D, and E.
Openers need to match a specific tone based on a segment tag in column C
Enterprise personas call for a formal, problem-led opener. SMB personas should be warmer and more direct. Column C has the segment label.
For each row, combine columns A and B into a full persona description. If column C says "Enterprise," ask Convolo.ai for formal, problem-led conversation starters. If column C says "SMB," request a conversational, direct tone. Write the three starters into columns D, E, and F.
Full kill chain: clean incomplete rows, segment by tone, generate, and flag thin output
Some rows have empty pain-point fields, some have the wrong segment label (a known data quality issue), and any generated opener under 10 words is probably too short to be useful.
Fill any empty cells in column B with "context not specified." Correct column C values: if the cell contains "Ent" or "enterprise" (case-insensitive), normalize it to "Enterprise"; if it contains "smb" or "SMB," normalize to "SMB." Combine columns A and B into a full persona description, then generate 3 Convolo.ai conversation starters per row — formal tone for Enterprise, conversational for SMB — and write them into columns D, E, and F. In column G, write "Review — thin output" for any row where any of the three starters is fewer than 10 words.
Ask for the cleanup, the logic, and the action in one prompt — SheetXAI works through the conditions in sequence without requiring you to run separate steps.
Try It
Get the 7-day free trial of SheetXAI and open your persona library workbook — then ask it to generate Convolo.ai conversation starters for every row and write them into whatever columns you're building your playbook from. Or take a look at how to bulk-evaluate sales conversations and return to the Convolo.ai overview.