Frame the decision
Name the audience, requested decision and source pack. Review imported tables and extracted text; record gaps instead of allowing a polished narrative to conceal them.
Investors run the same audit on every deal: story, traction, market, economics, diligence. This assessment runs it first — scoring all five on a deterministic 0–100 scale and handing you the gap list while it's still cheap to fix, not three weeks into a partner process.
A fundraising readiness assessment is a deterministic, 10-question audit that scores a startup on the same five dimensions investors check anyway — story, traction, market, economics, and diligence — each weighted 20%, producing a 0–100 score in one of four bands: Not Ready (0–39), Emerging (40–59), Close (60–79), or Ready (80–100). It runs before you talk to investors so the gap list — the specific weak dimension and the document that fixes it — surfaces while it's still cheap to fix, not three weeks into a partner process.
Inspect an actual Business report. A readable decision brief needs the question, supplied evidence, options, assumptions and next decision—not just a shorter source document.
A dossier built from four public EIA pages: a snapshot of figures, an executive summary, market size and growth, key drivers and trends, the competitive landscape, segments and buyers, an outlook, recommendations and a sources appendix, ending with the product's own faithfulness review of the text.
Research target: The U.S. utility-scale battery storage market. Focus: How fast U.S. utility-scale battery storage capacity has grown, what is planned for 2025 and 2026, and how battery storage compares with the other kinds of generating capacity being added. Describe a trend, ranking or comparison only where a source states it, and say where the sources are silent.
Open the full export and compare its statements with the cited sources before reuse.
Name the audience, requested decision and source pack. Review imported tables and extracted text; record gaps instead of allowing a polished narrative to conceal them.
Separate supplied facts, calculated values, assumptions and recommendations. For variance work, reconcile the period, unit, baseline and actual value before interpreting the direction of a difference.
Use options, trade-offs, risks and named next actions. Review the final artifact and, when using Analyst calculations, inspect the calculation evidence separately from the narrative.
Select source documents, case context, working notes, assumptions, options and decision constraints before generation. Inspect claims, metrics, exact quotations, source tables and conflicting figures. Review decisions are scoped to the source or artifact and can become stale after evidence changes; unresolved evidence should stay visible.
Keep investment, recurring costs, benefits, delays, growth, discount assumptions and scenario probabilities explicit. Inspect deterministic cash flow and the available return, payback and sensitivity outputs. Compare scenarios before selection, and inspect the formula workbook or calculation receipt separately from the narrative recommendation.
Inspect the dossier's source tables, working rows and columns, calculation ledger and workbook handoff. Metric packs retain reviewable calculation and source context. Preview source replacements for a new period before accepting them. Execution records distinguish an action owner, baseline, target, measured value, data source and the reason for a status change.
A calculation can be replayable while the supplied inputs remain wrong. A generated report is decision support, not independent diligence, audit assurance or investment advice.
Each dimension is worth 20% of the score. Every answer maps to a fixed value — the instrument scores the evidence, not the pitch.

A real Fundraising Readiness result: the banded score, all five dimension scores, and the named gaps to fix before investor contact.
| Dimension | Weight | What it checks | Best answer state |
|---|---|---|---|
| Story | 20% | Problem narrative clarity + use-of-funds specificity | Coherent narrative, milestone-shaped use of funds |
| Traction | 20% | Strongest traction metric + retention evidence | Repeatable revenue, measured retention |
| Market | 20% | Market sizing method + ICP focus | Bottoms-up sizing, focused ICP |
| Economics | 20% | Financial model type + unit-economics clarity | Driver-based model, measured unit economics |
| Diligence | 20% | Data room state + legal/finance record cleanliness | Investor-ready data room, clean records |
| Score bands | — | 0–100 total mapped to 4 bands | Ready (80–100): materials would survive diligence as-is |
Fundraising readiness fails quietly. The deck gets polished for weeks while the data room stays a scattered folder, the model stays static, and the use of funds stays "18 months of runway." Investors notice in reverse order: the unglamorous dimensions — diligence, economics — are where processes stall after a promising first meeting. This assessment weights all five equally precisely because founders don't.
The scoring is deterministic: "data room: scattered" maps to the same value for every founder, every time. That makes the result a progress meter you can re-run monthly during raise prep — and a shared instrument for co-founders, who frequently discover they'd answer "legal cleanliness" differently. That disagreement is a finding; better to have it now than in a diligence call.
The output is a gap list, and most gaps are documents: a milestone-based use-of-funds plan, a bottoms-up market sizing, a retention evidence summary, an organized data room. That's the paid side of Gixo — the Business workspace generates those briefs from your own uploaded files with claims bound to sources (start with a 14-day free trial, no credit card), and the Data-Room Checklist playbook gets the folder structure right before you generate a single document.
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