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Use case · After-sales support

Answer customers before they call

Many support calls about a new product are questions the manual already answers, somewhere. Put the answer one scan from the product, in the order customers ask, and use what they search for to close the rest.

On the page
Start Here, troubleshooting, FAQs, guides, warranty, spare parts and support.
Content gaps
Searches that found nothing, per product, with how often.
Analytics
Anonymous: no cookies, no accounts, no IP addresses stored.
Start with
The one product with the most tickets.

Why customers call

Look at a month of tickets for one product and the same reasons repeat:

  • “How do I set it up?” in the first week after purchase;
  • “What does this light, sound or code mean?”;
  • “How do I clean, descale, reset or pair it?”;
  • “Is this covered by the warranty, and how do I claim?”;
  • “Where can I buy a new filter, blade or cable?”

Many of these don’t need a person. They need the right page of the manual at the right moment, and the manual is in a drawer, or in the bin with the box. The fix is not a better PDF on your website; it is getting the answer onto the customer’s phone from the product itself.

Answer on the page, in the order they ask

An ItemDocs page is organised by what the customer is trying to do, not by chapter. Each common call reason has a home:

Table — Call reasons and where the page answers them
The callThe answer on the page
“How do I set it up?”Start Here: numbered first-use steps with the setup video and an “in the box” checklist.
“What does E4 mean?”Troubleshooting by symptom, with keywords so “E4”, “error” and “blinking” all find it.
“How do I clean it?”How-to guides with a photo per step, and short videos.
“Can it go in the dishwasher?”Searchable FAQs; search also looks inside your PDF manuals.
“Is it under warranty?”Structured warranty terms and a registration form that shows the end date.
“Where do I get a new part?”Spare parts and accessories with part numbers and buy links.
“I need to talk to someone.”Support: phone, email, hours and service centres, one tap away.

Support stays easy to reach. The aim is not to hide the phone number; it is to make the call unnecessary for the customer who would rather fix it in two minutes. See how the sections fit together on the demo page.

Find the questions you haven’t answered

Every search on a product page is a customer telling you, in their own words, what they need. ItemDocs records each search with the number of results it found. Searches that found nothing are listed as content gaps, per product, with how often they were searched, so the next guide to write is always obvious.

What are customers looking for?
Sample data
Setup
30%
“clean filter”
18%
Warranty
11%
“E4 error”
8%
No answer found
6%
Content gap
142 searches for “reset”. No guide exists.
Fig. 1 — What customers searched for on one product page. Sample data.
The ItemDocs Console analytics screen: a ranked list of customer searches such as “manual”, “reset” and “clean filter”, and a content-gaps list of searches with no answer, each with a Create guide button.
Fig. 2 — The real Console with the fictional demo brand’s data. Figure 1 is sample data.

Each gap has a Create guide button. Write the guide, add the customer’s word as a keyword, and the next person who searches for it finds the answer.

How to measure the effect

ItemDocs can show what customers do on the page. Whether calls go down is something only your support data can show. Measure both:

  1. Take a baseline. For the products you launch first, count tickets per week by reason for the month before.
  2. Watch use. In ItemDocs: QR scans, page opens, searches, which guides, FAQs and troubleshooting issues are opened, how far videos are watched, and support taps. All of it exports as CSV.
  3. Read the gaps weekly. Unanswered searches, and products where support taps stay high, point at content that isn’t working yet.
  4. Compare by reason. After a month, compare tickets for the reasons you covered with those you didn’t. Look at reasons, not totals; sales volume moves totals.

Analytics on product pages are anonymous: no cookies, no accounts and no IP addresses stored, only a daily-changing hash, kept for 13 months.

The first 30 days

Checklist
6 items
  • Pick the one product with the most tickets, not the newest.
  • Ask your support team for its top ten questions and the exact words customers use.
  • Publish Start Here, the manual, troubleshooting for the top three symptoms, five FAQs and your support details.
  • Print or sticker the QR code on stock and add it to the quick-start card.
  • Every week, turn the top unanswered searches into guides or FAQs.
  • After 30 days, compare tickets by reason with your baseline, then roll out to the next products by CSV import.

Answer the first question before it becomes a call.

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