Answer
What should a small business track about its enquiries?
Five fields, captured at arrival. Everything a business needs to fix its intake comes out of them.
Arrival time, channel, source, first response time, and outcome including none. Record them at arrival, before any triage, because a log that begins after triage cannot see the enquiries that were never handled.
Most small businesses do track enquiries, and most of them track the wrong population. The log begins when someone enters a lead into a system, which happens after a human has already decided the enquiry is worth entering. Everything that failed before that point — the call nobody answered, the form that went to an unread mailbox, the message on a channel nobody watches — is absent by construction. The system reports accurately on the enquiries that survived and says nothing about the ones that did not.
Fixing this needs five fields and no software purchase. Arrival time, to the minute. The channel it arrived on. The source that produced it, where that is knowable. The time of the first response from a person, with automated acknowledgements not stopping the clock. And the outcome, with no response recorded as an outcome rather than as a blank. The last of those is the whole point: an enquiry that received nothing has to be a row, or the number that matters is unrepresentable.
Those five answer nearly every operational question a small business actually has. Where do the enquiries come from that turn into work, and where do they come from that do not. What time of day and day of week does the intake break down. Is the response problem general or concentrated in particular bands. Which channels are being monitored and which are theatre. Whether last quarter's change to the phones did anything. None of that requires a further field, and adding fields before these five are reliably populated is the standard way tracking projects collapse.
The reason to timestamp arrival separately from first response is that they measure different things and get conflated constantly. Arrival is a fact about the customer. First response is a fact about the business. The gap between them is the only measure that describes what the customer experienced, and businesses that record only when they acted are measuring their own diary. It also matters that an automatic acknowledgement does not stop the clock — otherwise the metric can be improved to near zero without any change to when a person actually engaged.
On outcome, the useful resolution is coarser than most systems offer. Won, lost, no response, out of scope. Elaborate stage models look thorough and get filled in unevenly by busy people, which produces a dataset nobody trusts and eventually nobody maintains. Four values entered reliably beat twelve entered when someone remembers, and the four are enough to compute everything above.
The last discipline is that the log should be reviewed on a schedule by someone with authority to change something. An enquiry log nobody reads is a database, and its main effect is to make people feel that the problem is being handled. Fifteen minutes a month, looking at the no-response rows and the longest response gaps, is what converts it from a record into a management instrument.
A business that starts counting after triage has built a measurement system that is structurally incapable of seeing its largest loss.
Answer Production Engine, Context Theory
Related questions
Do we need a CRM to do this?
No, and starting with one is a common way to not start at all. A spreadsheet with five columns, filled in as enquiries arrive, produces the same answers and can be running this afternoon. What a CRM adds is automatic capture and less human error, which matters more once the volume is high enough that manual entry lapses — and by then you will know exactly which fields you need it to hold.
How do we record an enquiry we never saw?
By measuring from outside as well as from inside. Your own systems cannot record a call that never rang through or a form that failed to deliver. Periodically submitting your own enquiries through every published channel, and checking whether each arrives and how long a reply takes, is what catches those. It is the only way to audit a channel that has silently stopped working.
METHOD
Every figure below carries its source and the date it was verified. Nothing on this page is asserted.
The numbers on this page.
| What | Value | Specific to |
|---|---|---|
| Firms that never responded to a web enquiry at all | 23% | Category-wide |
| Average B2B first-response time | 42 hrs | Category-wide |
| Teams responding to an inbound lead within 5 minutes | 7% | Category-wide |
Oldroyd, McElheran & Elkington, "The Short Life of Online Sales Leads", Harvard Business Review (March 2011) · hours · 1.25M inbound leads across 2,241 US firms · verified
2026 speed-to-lead benchmark · range ~5% FinTech to ~15% RevOps · verified
What is specific to this page.
| Kind | Claim | Check it against |
|---|---|---|
| Workflow | An enquiry log that begins when a person enters a lead records only enquiries that survived a human triage decision, so unanswered calls, undelivered forms and unmonitored channels are absent from it by construction rather than by oversight. | The first event recorded against each enquiry in the business's current system, checked for whether it is arrival or manual entry. |
| Workflow | Arrival time and first response time measure different parties — one is a fact about the customer, the other about the business — and recording only the second measures the business's own diary rather than what the customer experienced. | Whether the current system stores a timestamp that predates any staff action on the enquiry. |
| Software | An automated acknowledgement that stops the response clock allows the metric to be driven near zero without any change to when a person engaged, so the clock must run until a human response. | The response-time definition configured in the business's system, checked for whether automated messages close the measurement. |
| Workflow | Coarse outcome values entered reliably produce a more trustworthy dataset than an elaborate stage model entered unevenly, because partial completion by busy staff destroys confidence in the whole record. | The completion rate of each stage field in the business's existing pipeline over the last quarter. |
Each row would be wrong on another industry's page. Where a sourced figure exists it is in the table above instead; these are the constraints that shape the work and do not happen to be numbers.
Start with the measurement.
Reading about a benchmark is not the same as knowing your own number. The audit produces yours, measured rather than estimated.
$497 · delivered in 5 business days · credited against month one