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Storytelling and impact measurement

Securing recognition and future funding takes two things: a story that shows what your work changed, and evidence that your communications reached people. This chapter is about communicating impact - turning outputs into stories and measuring whether your comms worked. For assessing the impact of the work itself, see the Impact module.
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Good work doesn’t speak for itself. In a consortium where funding and recognition depend on demonstrating value, two things make the difference: a story that shows what your work changed, and evidence that your communications actually reached people.

This chapter is about communicating impact – not assessing it. For methodologies to measure the impact of the work itself (socio-economic value, organisational change), that’s the job of the Impact module; here we focus on telling the story and tracking whether the telling worked.

Part 1 – From output to story

The trap: reporting activities, not impact

Most research communication describes what was done – “we ran a workshop”, “we delivered D3.2”, “we trained 17 people”. That’s an activity log. Funders, policymakers and Boards care about what changed as a result.

A simple structure

You don’t need narrative theory. One repeatable arc covers most cases:

Challenge (why it mattered) → What we did → What changed (the outcome) → So what (why it matters to this audience).

  • Lead with the change, not the process.
  • Name the people involved – impact is human, and people stories travel furthest (see Chapter 6: Writing for non-writers).
  • Anchor it in one piece of evidence: a number, a quote, a case study.
Real-world example From deliverable to impact story: ELEAD

The same Annual Report content written first as a list of activities, then as an impact story for the people who shape policy and funding. Nothing was invented – only reframed.

Same story, different audience

Impact isn’t one message. Reframe the same achievement for whoever you’re talking to (this builds on Chapter 2: Understanding your audience):

Audience What they want to hear
Policymakers The societal benefit – who is better off, and how
Funders Value for investment and evidence of sustainability
Researchers What they can now do, use or join

Exercise

Take a recent output from your Node. Write it twice:

  1. As an activity (“we did X”).
  2. As an impact story using the arc above (challenge → what we did → what changed → so what).

Then pick your top audience and adjust the “so what” line for them.

Part 2 – Measuring whether your comms worked

Why measure at all

Measurement turns a nice story into a credible one, and a credible story into a funding argument. It’s how you show – not just claim – that your Node’s communications have reach and effect.

Activities, outputs, outcomes

Connect what you do to what it achieves:

  • Activity – the thing you ran: a webinar, a news item, a social campaign, a policy brief.
  • Output – did people engage? Attendees, page views, downloads, impressions, shares.
  • Outcome – did it lead anywhere? New service users, collaboration requests, funding inquiries, policy mentions, media pickup.

Outputs are easy to count; outcomes are what actually matter. Always try to link an activity to the outcome it was meant to drive.

Pick meaningful KPIs, not vanity metrics

A big follower count means little if no one acts. Choose a few indicators tied to real goals. For an ELIXIR Node these might be:

  • Registrations for a training event listed on TeSS
  • Click-throughs from a Weekly Brief item
  • Downloads of a resource or report
  • New users of a service after a campaign
  • Policy mentions or inclusion in the Annual Report
  • Funding or collaboration inquiries traced back to an activity

A simple impact tracker

You don’t need special software – a shared spreadsheet works. Track each activity against the outcome it serves:

Activity Audience Output (engagement) Outcome it serves Result
Webinar on a new service Researchers 80 registrations, 55 attended New service users 12 new users in 2 months
Policy brief National funder Sent + meeting held Continued funding Cited in funding discussion
Joint social campaign Wider community 3 Nodes posting, 4× reach Awareness / collaboration 2 collaboration inquiries

Use Google Analytics (set up once – see Chapter 9: Automation and tools) for the web numbers, and your platforms’ built-in analytics for social – the worked examples below show what to look at. Gather a quote or short case study where you can – the ELEAD Impact Report’s four personal case studies are a good model for turning numbers into evidence.

Reading your numbers: two worked examples

Numbers only help if you know where to look and what they’re telling you. Here’s one campaign read two ways. Scenario: your Node promotes a two-day training course with a news item on your website, an item in the Weekly Brief and two LinkedIn posts – one from the Node’s page, and one reshared by the course lead. The figures are illustrative.

Google Analytics: where did the registrations come from?

  1. Before you share, tag each link so Analytics knows where visitors came from. Google’s Campaign URL Builder adds a source (linkedin, weeklybrief) and a campaign name (rdm-course-2026) to the link.
  2. In Google Analytics, open Reports → Acquisition → Traffic acquisition and look at visits by source.
  3. Add registrations: if a click on “Register” is set up as a key event, add it as a column; otherwise count the registrations in your form by the same sources.
Source Visits Registrations Conversion
LinkedIn 420 18 4%
Weekly Brief 160 24 15%
Website news item 210 9 4%
Bluesky 70 2 3%

What it tells you: LinkedIn brought the most visitors, but the Weekly Brief brought the most registrations – its readers are already part of the network and ready to act. The story: “Nearly half our registrations came from the ELIXIR Weekly Brief.” For the course page itself, Reports → Engagement → Pages and screens shows whether people stayed long enough to read it.

LinkedIn: which post actually worked?

On your Node’s page, open Analytics → Content, or View analytics under a single post. Look at impressions, clicks, reactions, comments and reposts. The engagement rate is roughly all of those interactions divided by impressions – the share of people who saw the post and did something.

Post Impressions Clicks Engagement rate
Node page post, link in the text 1,100 14 2.1%
Course lead’s reshare with a personal note, link in the first comment 3,400 61 4.8%

What it tells you: the personal reshare reached three times as many people and got four times the clicks – the advice in Chapter 6 in numbers. Analytics → Followers and Visitors also show job functions and industries: check you’re reaching researchers, not just other communicators. The story: “When our course lead shared the post in their own words, it reached three times as many people.”

Quick check

Your funder asks whether the course promotion worked. Which number makes the best case?

Answer: Registrations, and where they came from. Registrations are the outcome the campaign was for, and knowing their source tells you what to do next time. Impressions and followers are outputs – useful context, not proof.

The two-minute impact pitch

When someone asks “what did your Node achieve this year?”, you should be able to answer in two minutes:

Challenge → what we did → what changed → and the one number that proves it.

If you can say that clearly, you have both a story and the evidence behind it.

Further resources

Category Resource Description
External resource Google Analytics

Free web analytics - set up a dashboard once to track website traffic instead of pulling numbers by hand.

External resource Google Campaign URL Builder

Adds tracking tags to the links you share, so Google Analytics can tell you which channel each visitor came from.

External resource LinkedIn Page analytics (help)

What LinkedIn’s Page analytics show - content, followers and visitors - and where to find them.

External resource RI-PATHS impact assessment framework

An EU-developed methodology for assessing the socio-economic impact of research infrastructures - for impact assessment beyond communications.