A useful buyer route has a reason you can inspect. This matrix separates named records or sources from broader categories and industry mentions. Use it alongside your inventory: the provider statement explains why a conversation may be relevant, while your collection description explains what the company actually holds. The two should remain distinct.
Read the evidence level before the provider name
An exact named interest establishes that the source names the record type or system. A broader category provides a less specific connection. Industry only means the sector is named without establishing the proposed collection. No mapped evidence means the connection remains unresearched or unresolved.
A traceable starting slice
These examples summarize the relevant program statements. Open the sources and use the provider profiles for collection-specific questions. Named-product statements should stay attached to that product rather than being applied to every vendor in the same software category.
| Provider | Published interest example | How to use it |
|---|---|---|
| Appen | Decision/escalation records; ledgers | Ask about the actual event and outcome collection. |
| micro1 | CRM data and project histories | Describe retained changes and project references. |
| Handshake AI | Slack, QuickBooks and ServiceTitan examples | Keep the named-source connection specific. |
| Mercor | Dispatch logs and invoices; Salesforce example | Separate record examples from a named tool. |
| Troveo | Document versions and opportunity histories | Inspect which context survives your output. |
| Telegraph Lab | Work conversations and CRM exports | Work conversations and operating records. |
Sources: Appen · micro1 · Handshake · Mercor · Troveo · Telegraph Lab
Connect one inventory row to one statement
Fictional row INV-3 describes invoice records from a verified period with job references. A finance-category statement can justify a question about INV-3. A source naming a particular accounting product can justify a product-specific question when that is the actual source. Neither statement proves every field, attachment or date is accepted.
Keep the source link, evidence level and open question beside the row. If the source describes a wider category, make the question narrower: does this particular invoice collection, including these checked references, fit the current scope?
Keep a separate column for your evidence
Keep three fields in the inventory: the provider’s published interest, the vendor’s export guidance and your observed account contents.
- Provider and relevant program
- Exact record/source statement
- Evidence level and source link
- Inventory row being compared
- Observed record dates and references
- Specific scope question still to resolve
Use gaps to choose the next research task
If the matrix has no supported connection for a collection, retain the inventory and identify a question. For example, ask whether a property-maintenance work-order collection is relevant instead of treating a real-estate industry mention as exact evidence. A smaller matrix with traceable statements is more useful than filling every cell with an inferred match.
What changes when new evidence appears
A new program statement can change the evidence level. An owner’s export inspection can change the collection description. Update the affected layer and preserve the date and scope.
Questions about this comparison
Why does one provider have several evidence levels?
Different statements support different connections. It may name one system, describe another record category broadly and mention an industry without naming the collection.
Does no mapped evidence mean no demand?
It means the connection remains unresearched or unresolved.
Sources
- Appen program pageAppen · Checked 2026-10-06
- Monetize your company's operational data (micro1)micro1 · Checked 2026-10-12
- Data Partnerships | Handshake AI (license / interest form page)Handshake · Checked 2026-10-10
- Mercor program pageMercor · Checked 2026-10-06
- Troveo program pageTroveo · Checked 2026-10-06
- License Your Business Data | Telegraph LabTelegraph Lab · Checked 2026-10-06