Conveyor Alternative Questionnaire Tool: The 6-Job Test

A Conveyor alternative gets much easier to choose once you stop shopping for a replacement platform and start shopping for six separable jobs: intake and triage, drafting from your own evidence, review and sign-off, file fidelity on the way back out, evidence-library upkeep, and buyer-facing sharing. Teams that switch well usually need three or four of the six done properly and can absorb the rest with a shared folder and a calendar reminder. Teams that switch badly buy another bundle, migrate half an answer library, and discover in month three that the job they actually cared about — the buyer's workbook coming back with its tab structure and dropdown validation intact — was the one nobody demoed.

What follows is the decomposition, a weighted scorecard, a reviewer-minute model that tells you whether a switch pays at your volume, a 40-question bake-off designed to catch the failure mode demos hide, and the three artefacts to extract before you cancel anything.

The alternatives lists ranking for this query were written by the alternatives

Worth knowing before you read another one. In a snapshot of this search taken on 24 August 2026, nine results were captured: four comparison posts published by vendors who sell against Conveyor, two Conveyor-owned properties (its product page and its own YouTube video), and three directory or review-aggregator pages. Independent editorial coverage in that snapshot: none.

That is not a scandal. It is how the category's content works, and this page is written by a vendor too. But it changes how you should read the genre. A vendor-authored "top five" is a positioning statement wearing a listicle's clothes — the ranking tells you who commissioned the writer, while the criteria tell you what buyers in the category argue about. Harvest the criteria. Discard the order.

The lists also flatten categories that behave nothing alike. G2's alternatives page for Conveyor names Loopio, Vanta and Responsive — three products with different centres of gravity, presented as interchangeable swaps. Before any feature grid, ask one question of each name on your shortlist: is questionnaire answering sold on its own, or only alongside a wider suite you would also be adopting? That single question splits a ten-name list into two much shorter ones, and it decides whether you are running a tool evaluation or a platform migration.

Conveyor's own product page describes the platform as handling intake, formatting and responses, and headlines automating 90% of security questionnaires. Treat any automation percentage on any vendor page as a measurement taken on someone else's corpus, not a forecast for yours. The number that transfers is the one you produce in a bake-off on your own documents.

The six jobs, and how each one fails quietly

Every questionnaire platform is a bundle of these six. The failure column matters more than the feature column, because each of these failures is invisible in a scripted demo and obvious eight weeks in.

The weights are a starting position, not a verdict. Two adjustments cover most teams:

• Portal-heavy inbound. If more than half of your questionnaires arrive inside a customer's third-party assessment portal rather than as a file, move roughly ten points from file fidelity into intake and check portal coverage before anything else. A tool that returns a perfect workbook does little for a request that never was one.
• A thin library. Under about 150 approved answers, move points from drafting into library upkeep. At that size your constraint is source material, not generation — no drafting engine invents evidence you have not written down.

For a longer evaluation protocol with a bigger question set, the companion piece on choosing a security questionnaire tool runs the same logic across 72 questions.

Does a switch pay at your volume? Run the reviewer-minute model

Reviewer time, not generation time, is what a questionnaire programme actually spends. Model it before you sit through demos:

Annual reviewer minutes = Q × N × [ R × m_reuse + (1 − R) × m_novel ]

• Q — questionnaires per year
• N — average questions per questionnaire
• R — share of questions matched by an existing approved answer (your coverage rate)
• m_reuse — minutes a reviewer spends confirming a reused answer
• m_novel — minutes spent on a newly drafted one

Take illustrative inputs: Q = 24, N = 150, R = 0.70, m_reuse = 1.5, m_novel = 7. That is 3,600 questions a year at a blended 3.15 minutes each — 11,340 minutes, or 189 reviewer-hours annually. Now vary the two levers a tool change can plausibly move:

A fifteen-point gain in coverage returns 13.5 more hours than a 29% cut in per-answer review time. Coverage is mostly a function of what you feed the tool and how you govern the library afterwards — which is to say it is largely portable between vendors, while the drafting engine is not. That ordering should shape the shortlist: a tool that makes your library easier to grow and keep current is worth more than one that writes marginally tidier prose.

The same arithmetic gives a floor. At Q = 8 and N = 150, the whole annual reviewer load is 1,200 questions at 3.15 minutes — 63 hours, about a week and a half of one person's year. A migration, a re-upload of your evidence corpus and a re-approval pass can consume that in one quarter. Below roughly eight questionnaires a year, fix intake and the library and leave the tooling alone.

This is arithmetic on assumptions you supply, not a benchmark. Get real inputs by tagging one month of incoming questions as matched, partial or novel — twenty minutes of clerical work that produces the only R worth modelling. The model also deliberately excludes engineering hours on novel technical questions, legal review of contractual clauses, and the deal-cycle cost of a slow reply. Those are real; they just do not move much when you change vendors.

A 40-question bake-off you can run in an afternoon

Build the set from questions you have already answered and from publicly documented control topics — not by pasting licensed questionnaire content into tools you are still evaluating. Composition matters more than size:

• 12 covered questions — topics where your policies say something crisp and current.
• 12 partially covered — evidence exists but is stale, or addresses an adjacent control rather than the one asked.
• 8 uncovered — nothing in your corpus answers these. This is the abstain test.
• 8 near-duplicates — the covered twelve, rephrased the way a different buyer would word them. This is the consistency test.

Then score four counters instead of one accuracy percentage:

1. Cited and correct
2. Cited to the wrong document — the dangerous category, because it looks verified and is not
3. Abstained or flagged as unsupported
4. Confident and unsupported — fluent, traceable to nothing

The reading rules are blunt. On the eight uncovered questions, abstention is the passing behaviour; a tool that answers six of eight plausibly has just shown you what it will do to a real workbook at 2 a.m. before a deadline. On the eight near-duplicates, diff the answers against their originals — two differently worded answers to the same control is the defect that surfaces months later, when a buyer's analyst compares the CAIQ you sent in March against the custom workbook you sent in July. And time the review pass, not the generation: generation speed is a demo metric, reviewer minutes are the operating cost you just modelled.

Run the identical 40 against your incumbent. Testing only the challengers produces a preference; testing both produces a comparison.

What migration actually costs: three artefacts to extract first

Ask for these before signing anything, not during offboarding.

The answer library with provenance. Question, approved answer text, source document, approver, approval date. Request a sample export file during evaluation. The common failure: the export arrives as a flat CSV of answer text with the question-to-evidence link dropped, and what you thought was a governed library turns out to be a text blob that needs re-verifying line by line before anyone can approve it again.

The evidence store itself. The PDFs and workbooks, not references to them. Check whether document links still resolve once the account closes, and whether exports include the files or only their titles.

The review history. Who approved what, and when. If that record cannot leave the platform, capture it before your final renewal date — you may need it long after you stop paying for the seat that produced it.

Budget extraction as work with a named owner, sized by library depth rather than headcount. A 600-answer library with evidence links and approval history is a different project from a 60-answer one, whatever the seat count says. And do not schedule the cutover in the same quarter as a certification audit or your two largest renewals; the month you can least afford a half-migrated library is the month a buyer asks for everything at once.

When staying put is the better call

Four situations where the switch is the wrong project:

• Volume below the floor. Under about eight questionnaires a year, the model above puts your entire reviewer load near 63 hours. Migration overhead eats the gain.
• Portals are the binding constraint. If most requests arrive inside a customer's assessment portal, the tool that returns files fastest changes little. Confirm portal coverage against your actual buyer list first.
• The bottleneck is a person. One unavailable engineer who owns the architecture answers is not a software problem. Watch where questions sit for four days; if it is the same queue every time, drafting speed is not your constraint.
• Sharing already deflects the volume. If a large share of buyers accept a self-serve documentation pack, adding a drafting engine optimises a queue you already shrank.

EU hosting is an axis, not a checkbox

If data residency is on your requirements list, treat it as a property of every surface the data touches — uploads, the search index or embeddings, model inference, application logs, backups, support-staff access and the subprocessor chain behind all of them. A page stating that a service is hosted in the EU usually describes the first surface. Ask specifically where inference runs, which subprocessors appear on the current list, where backups live, and whether support personnel outside the region can access tenant data. Verify against the vendor's own subprocessor and DPA pages, and check what your organisation needs with your own counsel rather than inferring it from a marketing page. The surface-by-surface verification walkthrough covers the questions and the answers that should worry you.

Where Compliance Concierge fits, and where it does not

Fits: teams that want job 2 and job 3 done cleanly without adopting a suite. You upload your policies and the questionnaire, drafts come back cited to your own documents, and nothing exports until a human has reviewed it — the review gate is mandatory rather than a configurable option. Hosting is in Frankfurt. Pricing is per questionnaire rather than per seat, plans are monthly, and there is a free tier for first-time users; confirm current plan details on the pricing page before budgeting.

Does not fit: anyone who needs continuous control monitoring, automated evidence collection from cloud accounts, or the rest of a GRC platform — that is a different product category and a different purchase. It is also not a hosted trust center, so if buyer-facing sharing (job 6) is your primary channel, weight that job first and expect to solve it separately. And if your inbound is portal-dominated rather than file-dominated, check coverage against your buyer list before assuming fit. A fuller side-by-side, including the cases where the incumbent wins, sits in the decision framework comparing Compliance Concierge and Conveyor.

Do this before the next demo

1. Tag one month of incoming questions as matched, partial or novel. That gives you R, and R decides more than the vendor choice does.
2. Assemble the 40-question set from answers you already own, in the 12/12/8/8 split.
3. Ask every vendor — including your current one — for a sample export file and a current subprocessor list. Before the demo, not after.

Questions buyers ask at this stage

Is there a free Conveyor alternative questionnaire tool? Free tiers exist across the category, and Compliance Concierge has one for first-time users. What a free tier can prove is narrow but real: it will show you citation behaviour and whether the tool abstains when your corpus is silent. It will not show you round-trip fidelity on a 400-row workbook, library governance over a year, or what happens when three questionnaires land in one week. Use the free tier for the abstain test; use a paid pilot for the volume test.

Which alternative should we pick? Searches phrased as a ranking assume the field has one winner, and it does not, because the six jobs weight differently for every team. The question that actually splits the shortlist is which job is your binding constraint. Portal-heavy inbound points to coverage of the portals your buyers use. File-heavy inbound points to round-trip fidelity. An audit-driven programme points to the review trail and its exportability. Answer that first and most names drop off without a feature grid.

Do we have to keep a trust center if we move drafting elsewhere? No — sharing and drafting are separable jobs and can sit with different vendors. The trade-off is two systems making statements about the same controls. Pick one canonical library, treat the other system as a publisher that reads from it, and set a recurring check to catch drift. Teams that skip that step usually find out when a buyer quotes the trust center back at them and it contradicts last month's workbook.

How long does a switch take? Long enough that the answer depends on your library, not on onboarding. Size it by the three artefacts above: extraction, re-upload and a re-approval pass over answers whose provenance did not survive the export. Ask any vendor promising a fast cutover which of those three they are doing for you and which they expect from your team.