ReputationLens journey guide

ReputationLens · Illustrative example

Follow Solstice's reputation record (example team)

This guide walks the full ReputationLens path using one illustrative story, not a customer case study. Solstice Retail Group is a fictional national retailer whose small communications team has been tracking coverage by hand. They can't say with confidence whether last quarter's bad press actually hurt the brand, or whether the CEO's standing moved separately from it. The story is told mainly through Maya, the Head of Communications, who has to report on reputation to the board. You'll see what each area is for, why it exists, and how this example team would use it.

Illustrative example Metaphors Visual diagrams Interactive steps
Meet Solstice Retail Group

In this example, Solstice runs a chain of physical stores plus an online shop, and it has just had a wave of coverage about regional store closures. Maya, Tom and Aisha have been reading headlines one at a time and guessing at the sentiment. They can't tell whether the CEO's reputation moved with the brand's or on its own. They don't want another inbox of mentions. They want one trended score for the brand, and a separate one for the CEO.

Example data Headline pile ? ? ? Solstice Retail Group 78 ▲ 4 pts this month Top aspect: "store closures" is 46% of coverage
Example. Left: a pile of headlines with no single answer. Right: one entity profile, one score, trended over time.

→ The big metaphor: a scored ledger, not a clippings folder

A clippings folder has one state: read or unread. ReputationLens gives every entity and every individual a clear position — configured, scored, explored, tracked — and the position always tells you what to do next. Nothing is a one-off pull. Every run uses the same setup, so the trend compares like with like.

New Entity

Where tracking starts

You define the brand or person and what each analysis run covers. After that, runs happen on a regular schedule, and you can re-run on demand.

Entities Dashboard

Where you can see direction at a glance

Every tracked brand has its own small trend line.

Entity Profile

Where a brand's score is explained, not just shown

It has Overview, News, Socials and Web tabs.

Individual Profile

The same analysis for a named person

On its own trend line, never blended into the brand.

Sign in, then read the topbar as three destinations

Every screen in ReputationLens sits behind the same topbar. It's short on purpose — Entities, Individual Profile and New Entity — because the whole product is built around one loop: configure, score, explore, track.

Entity Profile opens from any card on Entities, so the four areas you'll use are New Entity, the Entities Dashboard, Entity Profile and Individual Profile.

ReputationLens Entities Individual Profile New Entity Account Entities: the home screen — every tracked brand, at a glance New Entity: the only place a fresh analysis gets configured

Entities is the first thing you see after sign-in, on purpose — it's the screen that answers "is anything moving?" before you dig into a single profile.

An entity is a company or brand. An individual is a named person — usually an executive or spokesperson. Both get the identical analysis, but their scores never mix.

Why it's split this way

A brand's reputation and an executive's public standing are genuinely different questions — one crisis can hit the company hard while the CEO's personal standing barely moves, or vice versa. Keeping Entities and Individual Profile as separate tracks means neither question gets buried inside the other's number.

Topbar → New Entity

1 Two steps, then a review, before the first run

New Entity is the only place tracking begins. It's a short wizard — entity details, then analysis configuration — with a review panel before anything actually runs. Once it's set up, scheduled runs reuse the same configuration, and you can re-run on demand at any time.

Solstice, day one

In this example: Maya types in "Solstice Retail Group", chooses the sources worth covering, checks the review summary and starts the first run. It's a short setup, and every later run, scheduled or on demand, reuses the same configuration.

1 Step 1 — Entity details

This is the record every future analysis run, dashboard sparkline and profile page hangs off — get the name right once, and it's consistent everywhere after.

Configuration decides what "the analysis" actually means for this entity — the same setup every later run reuses.

Tip: Get scope right here — it's easier to widen coverage later than to explain why history is inconsistent.

The review panel shows exactly what you're about to launch — details plus config, together — before anything gets scored.

Topbar → Entities

2 Every tracked entity, direction visible without a click

Entities Dashboard is the home screen — every brand and person your workspace tracks, each with a sparkline that shows where its score has been heading. In this example, Maya opens this at the start of each week, before anything else lands in her inbox.

Sparkline

Direction, not just a number

Each entity's card carries a small trend line, so "is this getting better or worse" is answered before you open anything.

One click deeper

Straight into the full profile

Any card opens into that entity's full Entity Profile — Overview, News, Socials, Web — no separate navigation.

Why a dashboard exists at all

A comms team tracking more than one brand can't open every profile every day. The dashboard's job is to make "nothing needs your attention" a five-second read, so a profile only gets opened when something is actually worth a closer look. For a PR agency, this is every client brand in one view.

Entities → an entity→Overview

3 The score, explained — not just displayed

Overview is where a raw number becomes an answer: the reputation score, a sentiment breakdown, the top aspects driving current coverage, story clusters, and a written summary. In this example, it's the tab Tom opens first when a story breaks.

Example data SCORE 78 Positive 62% Neutral 25% Negative 13% Sentiment split News — 128 items Social — 62 items Web — 24 items Top aspect: "store closures" is 46% of coverage

The score is a single figure; the sentiment pie chart breaks it into positive, neutral and negative volume, so you know whether it's driven by a lot of mildly good coverage or a little strongly bad coverage.

News, Social and Web volumes sit side by side, so it's obvious whether a story is a press story, a social pile-on, or both.

Clusters group near-duplicate coverage of the same story, and top aspects name the themes driving the score — read a handful of clusters instead of a hundred articles one at a time.

Entity Profile→News

4 The press coverage behind the score

News lists every article the current run picked up, each carrying its own sentiment tag. It's where Tom goes to actually read what's being said, not just how it's scored.

In this example:

When a regional paper runs a piece on a store closure, Tom finds it here within the current run, tagged negative, sitting inside the same cluster as five similar local pieces — one story, not five separate alarms.

Entity Profile→Socials

5 The conversation, not just the coverage

Socials mirrors News, scoped to social media mentions. It's usually where sentiment moves fastest — and where Tom would check first when something is trending rather than reported.

Without a Socials tab
  • Social sentiment gets guessed at from a few screenshots
  • A pile-on looks the same size as a quiet mention
  • Nobody can say if social is louder than press today
VS
With Socials
  • Every mention gets the same scoring as News
  • Volume and sentiment are both visible at once
  • Source bar chart on Overview shows social's share of coverage
Entity Profile→Web

6 The open web, the third surface

Web covers other websites beyond news outlets and social platforms, so coverage that didn't come from a newsroom still counts towards the score.

Why a third tab, not two

News and Socials cover the obvious surfaces. Web is what catches the review-site post or the niche forum thread that neither of the other two would have surfaced — sometimes where a story first appears.

Topbar → Individual Profile

7 The same analysis, scoped to one person

Individual Profile mirrors Entity Profile exactly — Overview, News, Socials, Web — but scoped to a named person instead of a company. In this example, Aisha owns the CEO's profile here, and it never blends into the brand's own score.

Example data SOLSTICE RETAIL GROUP CEO, INDIVIDUAL PROFILE
The company's score climbs through the quarter while the CEO's individual score dips separately mid-period — a divergence a blended score would have hidden.
In this example:

Say the CEO gives a widely quoted interview. Aisha can watch his Individual Profile score move on its own trend line, even while the brand's score is recovering. A single blended number would have hidden that divergence.

Account

8 One workspace, every brand and person you track

Everyone on the team signs in to the same account, and every brand and person you track sits in that one workspace. Nobody's list is kept apart from a colleague's. For an agency, that means every client in one place.

Solstice, end to end (illustrative)

Every step of the journey, in the order an entity moves through it, for this example team.

  1. 1Sign in and land on Entities — start with the dashboard, not a single profile.
  2. 2Add a New Entity — details, then analysis config, then review before the first run.
  3. 3Check the dashboard sparkline for direction before opening anything.
  4. 4Open Overview for the score, sentiment split, top aspects and clusters.
  5. 5Read News, Socials and Web when a cluster needs the actual coverage.
  6. 6Track an executive separately in Individual Profile — never blended into the brand.
  7. 7Re-run on demand when a story breaks, and let scheduled runs cover the rest.
  8. 8Take the Score Trend to the board. Show the direction, not a single snapshot.
  9. 9Stay in one workspace so every tracked brand and person is visible to the whole team.

? Frequently asked

Is ReputationLens a media-monitoring inbox?

No. It's a scoring and trending tool — every article, post and web result feeds one reputation score per entity, rather than sitting in an unscored feed you have to read yourself.

What's the difference between an Entity and an Individual?

An Entity is a company or brand. An Individual is a named person, usually an executive or spokesperson. Both get the identical Overview/News/Socials/Web analysis, but their scores are always kept separate.

How often does the score update?

Analysis runs on a regular schedule, and you can re-run it on demand at any time, for example when a story breaks. Every run keeps its history, so the Score Trend stays continuous.

What are story clusters and top aspects?

Clusters group near-duplicate coverage of the same story so you read it once, not five times. Top aspects name the themes actually driving the current score.

Can I compare a company's score against its CEO's?

Yes — Entity Profile and Individual Profile use identical scoring, so their trend lines are directly comparable side by side.

Does everyone on my team see the same tracked entities?

Yes — every brand and person you track sits inside the same workspace account, visible to the whole team.

Is Solstice Retail Group a real customer?

No. Solstice, and Maya, Tom and Aisha, are an illustrative example used in this guide and on the ReputationLens site. The figures in the diagrams are example data.

Does it work for PR agencies?

Yes. You can track several client brands and their spokespeople in one workspace, with every client's direction visible on the Entities Dashboard.

Where is our data held?

In the UK. Privacy and Terms are on the Quantum Foundry site.

How much does ReputationLens cost?

Pricing depends on how many brands and people you track. Request a demo and we'll walk you through the product and share pricing.

Do we need a demo to start?

No. You can sign up and add the first brand or person you're already tracking by hand. If you'd rather see it first, request a demo with the Quantum Foundry team.