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Photo Diary Study: Product Use in Context

A repeatable diary entry participants complete each time they use your product in real life: a photo of the moment, what they were trying to do, and what got in the way — with an AI probe on the day's friction. Run it daily or weekly to see usage where it actually happens, not in a lab.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

8 questions · ~5 min
Q01
Message

Diary check-in time! This takes about 6 minutes. Answer for the most recent time you used the product — today if possible. Photos are hugely helpful: where you were, what was on your screen or in your hands.

Q02
Multiple ChoiceRequired

When did this usage session happen?

  • In the last hour
  • Earlier today
  • Yesterday
  • Longer ago
Q03
Photo response

Share a photo of the moment — your setup, surroundings, or what you were working with. No faces or private info needed.

Q04
Short TextRequired

In one sentence: what were you trying to get done?

Q05
Opinion ScaleRequired

How smoothly did it go?

Scale: 1 – 5
Min:Major friction — nearly gave upMax:Completely smooth
Q06
Audio record

In your own words (30–60 seconds): walk me through what happened, like you're telling a colleague.

Q07
AI Interview

Probe today's diary entry: the exact moment friction appeared and what the participant did next, anything they used alongside the product (other apps, paper, asking someone), and whether this session was typical or unusual for them. Keep it short — two or three focused follow-ups; this is a recurring diary, not a full interview.

Q08
Message

Entry logged — thank you! See you at the next check-in. Patterns across your entries (and everyone else's) build the real picture of how the product lives in the world.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Each entry pairs a photo of the real moment with a short AI probe on that day's friction — in-context evidence, not lab recall
  • Voice-memo option captures the story the way participants would tell a colleague
  • Entries are deliberately 3 minutes so longitudinal participation survives busy weeks
  • Cross-entry patterns are assembled automatically into a usage-in-the-wild report

dscout

Diary Studies for Longitudinal UX Research

A purpose-built longitudinal diary platform that captures photo, video, screen-recording, and text entries over days to years, with automated pacing reminders and playlist/highlight-reel analysis. Very strong on in-context multi-media capture and participant management, and the closest direct competitor to a guided-task style study.

What it does well

  • Rich in-context capture: photo submissions, video, screen recordings, and text reflections from participants in the moment
  • Multi-part study structures with automated pacing reminders to sustain engagement over long periods
  • Analysis tooling: playlist builder with exportable highlight reels, collaborative commenting, and expressiveness ratings
  • Precise participant targeting/recruitment for longitudinal panels

Where it falls short

  • Entry prompts are fixed forms; no AI that reads a submission and asks an adaptive follow-up on that specific entry
  • No live voice-AI interview to debrief a participant conversationally about a logged moment
  • Synthesis relies on manual tagging and highlight-reel building rather than an auto-written report
  • Prompt/question logic is not exposed transparently to the researcher

User Interviews

Diary Studies (UX Research Field Guide)

A methodology chapter/template that covers the full diary-study lifecycle (planning, recruitment/onboarding, monitoring, debriefing, analysis) and defines interval-, signal-, and event-contingent logging protocols with sample prompts. Strong on rigor and entry-format variety, but it is guidance plus static forms rather than an adaptive interviewing engine.

What it does well

  • Full five-phase lifecycle: planning, recruitment/onboarding, monitoring, debriefing, analysis
  • Defines three logging protocols (interval-, signal-, and event-contingent) so studies match the behavior being observed
  • Supports written, photo, and audio/video entry formats plus structured forms
  • Sample prompts and a bias-avoidance emphasis (clear instructions without steering responses)

Where it falls short

  • It is a field guide plus static entry forms, not a tool that adaptively probes each logged entry
  • No voice-AI interviewer to run the debrief phase automatically
  • Debrief/monitoring depend on the researcher's manual check-ins rather than automated follow-up
  • Analysis is a manual code-and-synthesize step, not an auto-generated report

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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