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Audit an AI VLOOKUP formula for exact IDs and honest missing matches

A returned name does not prove an ID lookup is correct. If an AI-written VLOOKUP omits its fourth argument, a missing ID may inherit another ID’s value. Define exact equality first, then test an existing ID, an internal gap and a value below the range.

Hands operating a laptop displaying a table, illustrating lookup formulas and ID checks
Illustrative photo: Bluestonex · Unsplash LicenseStock photograph; not a tool screenshot, product test or announcement event.

Key Takeaways

In this sorted numeric table, 200 must return B and 250 must remain unmatched. Use FALSE explicitly in VLOOKUP and check XLOOKUP’s mode where available. The incorrect draft and reference answer below are original teaching material, not a recorded model test.

In this article

Define identity before asking for a formula

Look up the numeric ID in D2 against A2:B4 and return its owner. IDs are identities, not price bands or interval thresholds: only equal IDs qualify. The table is deliberately sorted to remove ordering as a competing explanation.

The exercise uses numeric 100, 200 and 300, without leading zeros or numeric text. If a real system treats 00100 as a distinct string, preserve that identity rather than coercing it to 100 just to make a formula work.

Original fictional table: A1:B4
IDOwner
100A
200B
300C

Task and acceptance conditions for AI

A2:B4 contains numeric IDs and owners: 100→A, 200→B, 300→C. The query is in D2.
Require exact equality. Keep an unmatched state; never borrow a nearby ID.
Write an Excel formula, explain the match argument and predict results for D2=200, 250 and 50.
Do not erase all errors into blanks. Explain why duplicate IDs need a separate check.
Original teaching prompt, not a promise of any model’s behavior. Retain the source and reference answers first.

A wrong result need not produce an Excel error

Microsoft’s VLOOKUP reference documents approximate matching when range_lookup is omitted and sorting for TRUE mode. In this exercise, =VLOOKUP(D2,$A$2:$B$4,2) can return B from the 200 row when D2 is 250. That is meaningful for a band lookup, but violates this task’s identity rule.

Testing only D2=200 is insufficient: the flawed formula also returns B there. Query 250 distinguishes exact equality from the nearby lower entry and exposes the otherwise plausible mistake.

A believable incorrect draft

Incorrect draft

=VLOOKUP(D2,$A$2:$B$4,2) D2=250 → B, so B owns this ID.

Reference correction

=VLOOKUP(D2,$A$2:$B$4,2,FALSE) D2=250 → #N/A; no equal ID exists, so review it.

Both drafts are editorial examples. The #N/A preserves a relevant exception rather than noise that must be hidden.

Keep cases that distinguish the behaviors

With explicit FALSE, 200 returns B, while 250 and 50 return #N/A. Do not blanket-replace every error with an empty cell that downstream work may interpret as merely unfilled. If a readable label is required, IFNA can handle the unmatched case while a separate exception count remains visible.

Microsoft’s XLOOKUP documentation identifies exact matching as its default and notes that Excel 2016 and 2019 do not provide it. Where supported, =XLOOKUP(D2,$A$2:$A$4,$B$2:$B$4,"Not found",0) makes mode 0 explicit. A newer function name does not validate compatibility or data quality.

Reference results for this table
D2VLOOKUP without fourth argumentVLOOKUP(...,FALSE)XLOOKUP(...,0)
200BBB
250B (wrong identity)#N/ANot found
50#N/A#N/ANot found

Verify in the actual workbook

Copy the exercise into a blank workbook and confirm range, column order and numeric types. Enter queries and formulas separately and compare each result with the reference. Record Excel version and regional syntax; adapt separators where necessary without changing field meaning. These are reproducible expectations, not a claim of execution in your workbook.

Then append 200→D and extend the range. Exact matching establishes equality, not uniqueness: a lookup may return the first match while hiding a conflict. Count rows per ID and resolve duplicates under an explicit rule rather than treating return order as a business decision.

The stable-ID and name-collision guide explains identity keys. The AI spreadsheet formula acceptance guide helps preserve inputs, ranges and expectations.

Evidence before handing off the formula

  • Existing, internal-gap and below-range queries match the reference.
  • Range growth, types and application compatibility have been checked.
  • Unmatched IDs, other errors and duplicates have not all become blanks.
  • Actual workbook output is recorded separately from AI explanations and hand calculations.

Further reading & sources

Newer articles on this topic

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