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7Analytica

Solutions · Corporate affairs

See how a story about you is moving, and from where.

Communications and corporate affairs teams need to know whether a story has many origins or one, whether it is changing as it spreads, and what the primary documents say.

Details: Corporate affairs: the full picture

Corporate affairs: the full picture

Narrative and spread

Communications and corporate affairs teams need to know whether a story has many origins or one, whether it is changing as it spreads, and what the primary documents say.

Two words used on this page

Origin. The first report of a claim. Repeat. A report that only relays another. 7Analytica marks each one, so many repeats are not mistaken for many confirmations.

01 Instrument

Thirty-one reports, one origin.

Scrub through two days. Each mark is a report. Watch the origins stay at one while the volume climbs, then read how the framing spreads by zone.

Narrative timeline and framing spread

Sample data
T+0+12h+24h+36h+48h

Reports

27

of 31

Origins

1

the first post

Corrections

2

logged

Framing spread by zone

  • North America5
  • Europe7
  • Asia4
  • South America0
  • Africa3
  • MENA / Gulf4
  • Oceania2
  • Digital2

Left is one lean, right is the other. A wide bar means the same story reads differently inside one zone. Numbers are reports in the zone.

Details: Where the work gets hard

Where the work gets hard

Where the work gets hard

Volume looks like momentum. A story repeated by forty outlets may rest on a single post, and responding to the volume instead of the origin spends effort in the wrong place.

Thirty-one reports, one origin.

Scrub through two days. Each mark is a report. Watch the origins stay at one while the volume climbs, then read how the framing spreads by zone.

02 A sample day

From first light to the close.

Scroll through one working day. Each step is written to the record as it happens, in your local time.

  1. 08:00

    Follow the story

    In the record Story on the watchlist

  2. 10:20

    Find the origin

    In the record 1 origin among 31 reports

  3. 12:00

    Read the framing

    In the record Framing departs in 2 zones

  4. 14:30

    Track corrections

    In the record 2 corrections logged

  5. 16:00

    Decide the response

    In the record Response drafted

  6. 17:30

    Seal the position

    In the record Position sealed, 17:30 local

Details: The whole day, step by step

The whole day, step by step

Sample day

  1. 08:00 Follow the story. A story about the organisation goes on the watchlist. Reports arrive on the wire as they are captured, with times in your zone. Record: Story on the watchlist.
  2. 10:20 Find the origin. The first appearance is a single social post. Thirty reports relay it. Counting origins and not reports changes the size of the problem. Record: 1 origin among 31 reports.
  3. 12:00 Read the framing. The same story reads differently across zones. The wording that departs from the rest is marked so the response can address it. Record: Framing departs in 2 zones.
  4. 14:30 Track corrections. Two outlets have added corrections. The record shows which and when, and which have not. Record: 2 corrections logged.
  5. 16:00 Decide the response. With the origin, the primary documents and the framing in one file, the response addresses the post and not the volume. Record: Response drafted.
  6. 17:30 Seal the position. The position as it stood when the organisation responded is sealed with the sources it saw. Record: Position sealed, 17:30 local.

A sample day, built from how 7Analytica works. Every step is written to the record as it happens, in your local time.

03 Numbers

What the record is built from.

These are facts about how 7Analytica is made, not results. They are the same for every audience.

  • 5inputsInputs to a score

  • 8zonesMedia zones

  • 6axesQuestions audited

  • 1time zoneOne clock

  • Origin over volume
  • Correction tracking
  • Framing by zone
  • Timestamped file
  • Alerts on tier
  • What was known at the time
Details: What each number counts

What each number counts

Numbers

5 inputs: Inputs to a score
Each one printed beside the number.
8 zones: Media zones
Each read against its own baseline.
6 axes: Questions audited
Who, what, when, where, why and how.
1 time zone: One clock
Every record is in your local time, with the zone written out.

These are facts of how 7Analytica is made, not results. They are the same for every audience.

04 Before and after

The same moment, twice.

On one side the work is done from scattered fragments. On the other it is done from the record. This is an illustration, not a result.

Fragments

Responding to volume

The record

Responding to the origin

Details: Both versions, line by line

Both versions, line by line

Responding to volume

  1. Forty alerts, all looking like momentum
  2. No one knows which report came first
  3. Framing guessed from the headlines
  4. A response written to the loudest outlet
  5. No record of what was known when

Responding to the origin

  1. One origin, thirty relays, marked as such
  2. The first appearance, timed in your local time
  3. Wording compared across zones
  4. A response aimed at the post
  5. A file of what was known, sealed

An illustration of the difference between working from fragments and working from the record.

DetailsRead the full explanationSample records, what you get, questions and where to read next.

What you would be looking at.

Records built from sample data. They show the shape of the work, and are not a claim about any real person or organisation.

Story trace

Sample
Where 31 reports came from
GroupRoleReports
Social post, no documentOrigin1
Outlets quoting the postRepeat24
Aggregators, no sourcingRepeat6
Primary documentNone0

Sample record. Illustrative data.

Framing spread

Sample

How the same story reads across zones

neutrality is a reading of how far wording leans. It describes the lean and does not say a story is false.

Reports

31

Origins

1

Corrections

2
Europe
71
Asia
52
MENA / Gulf
38

Sample record. Illustrative data.

Corrections

Sample

Who corrected, and when

  1. 11:05 local

    Outlet A adds a correction line under the original text.

    Corrected
  2. 13:40 local

    Outlet B changes the headline and adds a note.

    Corrected
  3. 14:30 local

    Twenty-two outlets have made no change.

    No change

Sample record. Illustrative data.

Story trace

Sample

A claim about a company repeated across outlets

Thirty-one reports, one origin: a single social post. No primary document. Two outlets have since added a correction.

Reports
31
Origins
1
Corrections
2

Sample record. Illustrative data, no real organisation implied.

The same record, summarised. Each record has a permanent reference, so it can be cited.

The same moment, twice.

An illustration of the difference between working from fragments and working from the record.

In between

2 of 5 lines in the record

2 / 5

  1. 01

    One origin, thirty relays, marked as such

    Record
  2. 02

    The first appearance, timed in your local time

    Record
  3. 03

    Framing guessed from the headlines

    Fragment
  4. 04

    A response written to the loudest outlet

    Fragment
  5. 05

    No record of what was known when

    Fragment

Drag the slider, or focus it and use the arrow keys.

What you get.

Origin over volume
Counts of independent origins, not counts of reports.
Correction tracking
See which outlets corrected and when, and which did not.
Framing comparison
How the same story reads in different and outlets.
A timestamped file
What was known at the time you responded.
Alerts on tier
Rules raise a story only when it meets a stated condition.

Questions from corporate affairs.

Plain answers. If yours is not here, ask.

Next, if it helps.

Next

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