Consumer Research & Data Collection · Digstalk

Two ways to read Digstalk

Digstalk is a publication about homes, gardens and the stories behind what turns up when you dig. Layered on top of it is a quiet, anonymous study of how people really live, clean, garden and remember. So you get home and garden answers based on what real people do, not one writer’s routine.

Two layers

One site, two jobs

01

Layer one: the articles

Housekeeping and home life, gardening, discoveries and the history behind everyday things. Written to inform, inspire and keep you company over a cup of coffee.

02

Layer two: the reader signals

Next to the articles are optional one-tap questions. Each answer is anonymous. Across many readers they show how households actually run, beyond what the magazines say: who does the chores, how often homes really get cleaned, and which gardens people want.

The signals

What you can tap

01

“Shoes in the house?”

A one-question poll. The reader split appears the moment you answer.

02

❤️ or 👎 on a room or a garden

Reactions on photos show which looks, colours and eras readers actually like.

03

“Lived it · Remember it · Before my time”

On our then-and-now pieces: how many readers grew up with wood panelling and a laundry line.

04

Save this article

Keep an article in your own Saved list. We count saves anonymously to learn which topics are worth keeping.

There is also a one-tap “why?” follow-up after you react to a photo, so we learn the reason and not just the vote. Alongside the taps we record ordinary page analytics: which images were viewed, how far you scrolled and how long you stayed.

Exactly what is recorded

Kept, and never collected

Stored with each tap

  • What you tapped, on which image or poll
  • A random session code, not linked to your name, email or any account
  • Device type, such as phone or desktop
  • How you arrived, such as search, Pinterest or Facebook
  • Approximate region, state or province only, read from the network edge
  • If you came from an ad: the ad platform’s aggregate age and gender mix for everyone that ad reached, never anything about you

Never collected

  • Your name or email address
  • Your IP address
  • Any account or login
  • Your precise location
  • Anything you type
  • Faces: images are described by style, colour and era, and people in them are never identified

How results are published

Totals only. Never about one person.

01

You see the split

Right after you answer, you see how other readers answered. Later, the combined results become data-backed articles and charts.

02

Many readers, never one

We only ever publish totals across many readers. Small groups are never reported, and nothing is ever published about an individual.

03

Always optional

If you do not tap, nothing beyond ordinary page analytics is recorded. Anything you save lives in your own browser, and clearing your browser storage removes it.

What it lets us find out

  1. How often readers really deep-clean, and when
  2. Which chores readers hate most and secretly like
  3. Lawn, vegetable garden or wildflowers: what readers want outside
  4. Which decades of home style readers lived through

Custom consumer research

Need answers from homeowners and home lovers?

If the answer you need isn’t in a published report, we can collect it. Digstalk is part of JGD Media Group’s consumer research network, and custom studies run in front of readers already engaged with your category, so responses come in fast and reflect real choices.

What we can run

Poll seriesA set of questions on your topic, with fixed options and a minimum sample per question.
Image testsHead-to-head and reaction tests on your product photos, finishes, colorways or packaging, against the category.
Category studiesWhich attributes in a category readers keep, ignore and reject, with say-versus-do checks.
Trend trackingThe same questions re-run monthly or quarterly, so you can see a preference move.

What you receive

A private PDF report, the full dataset, and a call to walk through the findings. Studies are exclusive to you unless you choose to publish.

Tell us your category, the decision the research should inform and your timeline.

Contact us about custom research →