Scoring bids with a weighted matrix
Listen to this lesson
Nigerian voice narration
Fictional training case. Five bids arrived for an office furniture supply contract, and the previous year's evaluation was challenged for inconsistent scoring between committee members. This year's evaluation must use a weighted matrix tied to the approved bidding documents, with every score traceable to a written justification. Work through the example, identify the evidence needed and practise the method with cleared or synthetic inputs. Any additional figures in the explanation are separate practice examples, not claimed rows in a downloadable file.
Worked example
Confirm the weighting (e.g. Technical 60%, Financial 40%) exactly as stated in the approved bidding documents — never let AI suggest or adjust these weights. Ask AI to build a matrix template with rows for each criterion and columns for score, weight, and weighted total, across all five bids. As the evaluation committee enters each score, ask AI to draft a one-line justification per entry (e.g. 'scored 7/10 on delivery capacity due to stated 2-week lead time') so the reasoning is documented, not just the number. Cross-check that the weighted totals calculate correctly, and that the top overall score aligns with what a manual spot-check of two bids would produce.
The method
Fixed-weights, AI-formats: lock the evaluation weights from the bidding documents before any AI involvement, then let AI only handle structure (the matrix) and language (justifications) — never the numeric judgment itself, which stays with the committee.
Worked practice and common mistakes
With example weights of 60% technical and 40% financial, raw scores of 80/100 and 70/100 contribute 48 and 28 points, totalling 76/100. Do not weight the score twice. The committee supplies evidence and judgement. AI can format a reason already supplied, but should not invent a justification for a score that has no supporting record.
Review before using the result
Recalculate the weighted total for the top-scoring bid manually. Confirm every score has a one-line justification before the matrix is submitted.
Your workplace practice
Use the recommended free assistant with this lesson's fictional example. Create a weighted bid evaluation matrix (Technical 60%, Financial 40%) for these office furniture bids, with columns for criteria, score, weight and a one-line justification per row. Keep a copy of the input and draft. Compare the result with the verification steps above, record any correction, and retain placeholders where evidence is missing. The expected result is a checked draft for human review, not an automatically approved decision. Course examples and practice responses are fictional; amounts, dates, rules and thresholds are not official guidance or supplier quotations.
Open Microsoft Copilot (free tier) and paste this prompt there. Builds the weighted-scoring Excel formulas you will reuse.
Create a weighted bid evaluation matrix (Technical 60%, Financial 40%) for these office furniture bids, with columns for criteria, score, weight and a one-line justification per row.
Why this tool: Builds the weighted-scoring Excel formulas you will reuse.
Hit a free limit? Switch to ChatGPT or Gemini and continue — the prompt works in any assistant.