From brief to review

A two-minute
illustrated walkthrough.

See how Fieldwork makes delivery assumptions, team capacity and review decisions visible before work moves forward.

Planning lab + review dashboard 02:00 / Illustrated demo

Published demo screenshots, explanatory graphics and a synthetic voice.

Turn a brief into a reviewable plan.

Inspect the workload assumptions, compare production and review effort with available time, and surface missing prerequisites.

Open the planning lab

Give every review a clear next step.

Explore reviewer assignment, required decision notes and status changes using a queue of fictional submissions.

Open the review dashboard

An independent demonstration by Dhairya Sharma. The video is an illustrated walkthrough, not a live screen recording. It uses fictional data and synthetic narration, with AI-assisted development. The two demos are separate and use fixed rules; they have no production integrations. Changes stay in browser memory and disappear on refresh.

Read the full transcript
  1. 0:00

    The problem

    A delivery brief can hide more work than a team can handle, or unclear review rules. Fieldwork makes these assumptions visible. This illustrated walkthrough uses screenshots from Dhairya’s independent portfolio demo.

  2. 0:14

    An editable brief

    The planning lab starts with a fictional brief: item volume, time per item, review coverage and team availability. Each input is an editable assumption, making the estimate straightforward to inspect and question.

  3. 0:29

    Capacity without hidden promises

    In this preset, estimated work is sixty-six hours against seventy-five available. Production and review share that capacity. Onboarding, pilot work, rework and coordination are excluded, so the difference is not guaranteed spare time.

  4. 0:46

    Checks that match the plan

    Unconfirmed permissions or unclear acceptance rules remain blockers. The checklist records example review acknowledgements, not verified consent. Editing the brief clears those acknowledgements, preventing an outdated review from carrying over to a changed plan.

  5. 1:01

    A clear review owner

    The separate review dashboard shows fictional submissions and their owners. A submission needs an assigned reviewer before review can start. Clear status rules describe what can happen next and what information is missing.

  6. 1:15

    Explain each decision

    Acceptance and requests for changes both need a written note. The workflow supports another submission and review after changes. Accepted records become read-only, while session activity provides a visible account of those decisions.

  7. 1:32

    What the demonstration proves

    Together, these demos show a planning handoff and an organized review queue. They use fixed rules and fictional data, with AI-assisted development. There are no live business connections, and browser changes disappear on refresh.

  8. 1:47

    A focused paid starting point

    Start with a paid review of one workflow: its steps, exceptions and acceptance checks. Dhairya can scope that review first, with any implementation priced separately after requirements and tests are agreed.

Start with one workflow.

A paid review maps the steps, identifies exceptions and defines acceptance checks. Get a practical next-step plan; agree any implementation scope and price separately.

Discuss a paid review Connect with Dhairya on LinkedIn