The Judge Experience

Great judging is its own kind of excellence. AwardScience makes it effortless.

Your judges are giving you something valuable — their expertise, their time, their reputation. AwardScience gives them a portal that respects all three: focused, fast, and designed around how expert evaluators actually work.

01 · Taking on the work

Your Personal Review Queue

When you log in, your dashboard shows exactly what’s assigned to you at your current stage. Nothing more, nothing less. Open any submission to read the full application in a clean, formatted view. Everything is laid out so you can focus on evaluating, not hunting for information or figuring out what you’re supposed to be looking at.

A judge’s home screen with To Do List counters for applications, follow-ups and completed reviews, and two recent applications with their stage progress trackers.

Accept, Decline or Declare a Conflict

Invitations arrive with a clear deadline, and you read the application before committing to anything. Accept to take it on, decline to pass it along, or declare a conflict of interest with an optional note for the administrator. Declaring a conflict frees your place for the next reviewer straight away, and every response is recorded against the round, so the panel’s composition stays defensible.

A reviewer’s invitation card for a panel review with a response deadline, an optional remark box, Accept, Reject and conflict-of-interest buttons, and the invitation history beneath.

One Login Across Programs

Judge for several organisations with one email address and one password. Your credentials work across every AwardScience workspace you belong to, so there’s no separate account to remember for each program you sit on. Only you can change them — if an administrator needs to help, they send you a secure set-password link and never see or set your password themselves.

An Edit user panel with login email, account type and a Send set-password link button, plus the email the user receives inviting them to choose a password.

02 · Reading the entry

Blind Review, Built In

Personal details are removed before an application reaches you. Names, email addresses, phone numbers, links, ID numbers, places and organisations are scrubbed from what you see, and applicants can appear under an anonymous label instead of their own name. You judge the work, not the person — and afterwards the programme can show exactly which details reviewers could and couldn’t see.

A Redact PII settings panel choosing which fields to hide, which data types to scrub from free text and who still sees the originals, with a redacted reviewer preview below.

Every Attachment Scanned

Open applicants’ documents with confidence. Every uploaded file is checked for malware before anyone can open it, and nothing can be downloaded until it passes. Files still being scanned are marked as such, and anything found to be unsafe is blocked outright rather than quietly left in place for someone to click.

An application upload field showing four security-scan states: a scan in progress, a file that passed and can be downloaded, a file found to contain malware, and a rejected file type.

Flag & Tag as You Go

Mark submissions with a red, yellow, or green flag as you work through your queue. Add your own tags to organize entries the way you think. Every note stays attached to your account with a timestamp, so your triage logic is yours alone and won’t get mixed up with anyone else’s. You can come back to flagged entries at any point during the review window.

An applicant record with a completed eligibility section above a floating private toolbar offering colour flags, tags and a remark box marked visible only to you.

03 · Scoring with AI help

AI-Assisted Scoring

Before you score, the platform proposes a score with written reasoning attached. You’re not handed a number to rubber-stamp. You’re given a first opinion to react to, with the logic visible so you know exactly what the AI weighted. Read the reasoning, enter your own score, and move on. Or disagree with it entirely and score from scratch. Either way, you submit the final number and that’s what counts.

An applicant’s answers beside two AI Score cards, each returning a mark with the written reasoning behind it and a note that AI scores should be checked.

Ask AI About Any Answer

On any field in the application, hit Ask AI to open a chat window. Summarise a long essay, ask a follow-up question, or pull out specific claims without leaving the review screen. It works inline, so there’s no tab-switching or copy-pasting. Useful when an entry is dense, and you need to cut through to what actually matters before scoring.

Submitted answers beside an AI Analysis chat scoped to a single field, answering whether a claim made in that answer is internally consistent.

Catch Look-Alike Submissions

Similarity detection compares submissions by meaning, not just shared words. When two entries are making the same argument in different language, the platform surfaces them side by side with a similarity score. Keyword searches miss this kind of overlap. The semantic comparison catches it, and in high-volume programs with hundreds of entries, that’s not something you can reliably do by hand.

A project summary beside a Check Similarity panel ranking three earlier submissions by percentage match, colour-coded from red for the closest down to green.

04 · Deciding as a panel

Comment on Any Answer or Document

Highlight a sentence in an answer, or drop a pin on a page of an uploaded document, and start a thread about it. @mention the people responsible for a stage, reply in line, and save a draft until you’re ready to post. Comments appear live for the rest of the panel, anchored to the exact words or the exact page they refer to, so nothing is lost to a side conversation.

Highlighted text in an answer and a numbered pin on an uploaded PDF, beside a threaded comment panel with a question, a reply and a note on who can see it.

Vote & Rank

In people’s choice or panel voting rounds, you cast votes directly from a gallery view. One tap per entry. There’s no separate process and no spreadsheet to manage. Your allotted votes are tracked automatically, so you always know how many you’ve used and how many remain.

A public voting page with four entry cards, one marked as voted, a remaining-votes counter, the total votes cast and a Submit vote button.

Spot Disagreement Instantly

When multiple judges have scored the same submission, a judge anomaly view ranks those entries by how far apart the scores are, highest divergence first, measured by standard deviation. Panels can work through disagreements systematically rather than discovering them after the round closes. It makes those conversations easier to have, because you’re starting from the data rather than going by memory.

A score distribution histogram split by judge beside a Judge Anomaly Detector table ranking applications by standard deviation with their mean, range and extremes.

See the Whole Score Picture

Score summaries break down results by stage and by judge, with calculated totals. You can see not just where an entry landed, but how different reviewers got there, what each stage contributed, and how the final number was built. Useful when a score feels surprising and you want to understand what’s behind it before the panel discussion.

A Score Summary table of totals per criterion across three judging stages, with the round score row in bold and buttons to open a summary or more detail.

05 · Keeping on schedule

Track Your Progress

A progress view shows how many reviews you’ve completed and how many are still open. Straightforward, but genuinely useful when you’re working through a large queue and want a clear picture of what’s left before the scoring window closes. No digging through entries to count manually.

A judging progress table of reviewers with last login, active and completed counts and progress bars, above an applicant’s stage timeline with the current stage marked.

Reminders That Reach You

When reviews are waiting, reminders go out by email, WhatsApp, SMS or mobile push — whichever channel you actually check. Program teams choose exactly who is reminded, who is copied, and how often, repeating on a schedule until the stage is done. If a message can’t be delivered, AwardScience retries it and then switches channel, so a bounced email doesn’t quietly turn into a missed deadline.

A Send Message flow action choosing recipients and a cc user group, set to repeat on a schedule with start time, interval, repeat limit and email template.

Secure By Design

Your data is hosted on enterprise-grade infrastructure with daily backups and strict access controls.

Built on ISO 27001-Certified Infrastructure

AwardScience runs on AWS, which holds ISO/IEC 27001 and PCI DSS certifications for its infrastructure. Our own security programme is built around the ISO/IEC 27001 control domains.

AWS infrastructure

GDPR-Ready Data Handling

EU data residency, Standard Contractual Clauses for international transfers, configurable retention and deletion, and a Data Processing Agreement available for enterprise customers.

Privacy first

Encrypted Data Storage

All data is encrypted at rest and in transit using AES-256 encryption. Hosted on enterprise-grade infrastructure with daily automated backups and strict role-based access controls.

AES-256 encrypted

Your data never leaves your control. AwardScience does not sell, share, or use your data for any purpose other than running your program.

Hosted on AWS GDPR-Ready AES-256 EU Data Residency

See AwardScience through a judge’s eyes.

Your best evaluators will want to come back next year.

Choosing award judging software

If you are evaluating platforms rather than sitting on a panel, the judging stage is where the differences between them actually show. Three failures account for most of the trouble, and none is obvious while a programme is running.

Scope leakage. A judge can reach entries they were never assigned, or scores from a panel they do not sit on. Nobody notices until an entrant asks who reviewed their submission.

Undetected disagreement. Two judges score the same entry 9 and 4. Averaged, it becomes a middling 6.5 and disappears into the middle of the table. The disagreement was the signal, and the arithmetic erased it.

No decision record. Six months later someone asks why an entry was shortlisted. The scores exist, but the reasoning lived in a panel conversation nobody wrote down.

Five things to test before you commit

Any demo looks clean. These are worth checking yourself, in a trial, with your own entries — they are where platforms differ, and the differences only show at volume.

  • Log in as a judge, not an administrator. Can you reach an entry you were not assigned by editing the URL? Administrators rarely check this, and it is the most common governance hole.
  • Score the same entry from two accounts, far apart. Does the platform surface the divergence, or quietly average it away?
  • If it offers AI scoring, ask it why. A score with no reasoning attached cannot be defended to an entrant, a board or a regulator.
  • Submit two entries that argue the same thing in different words. Keyword matching will miss them. Semantic comparison will not.
  • Export the decision record. Not the scores — the flags, the remarks, who left them and when. If that export does not exist, the record does not exist.

Where judges use the scale differently — one marks generously, another never gives above 7 — score normalisation is a separate question worth settling before you weight a panel. Our RFP guide applies the same discipline across the whole platform rather than just this stage, and the award judging process guide covers how panels are usually structured, independently of any software.

Video library

Watch it in action

See the judging workflow end to end — blind review and scoring, and how scores and results are visualised afterwards.

Browse the video library → Every feature walkthrough, in one place.
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