How Relationship Strength Scoring Works (and Why It Matters)

Your team knows 500 people. Your investors know thousands more. Somewhere in that web is a person who can walk you into your next best account - but figuring out who that is, and which of your colleagues should make the ask, is harder than it looks.

Most network tools just show you that a connection exists. Relationship strength scoring shows you whether it's worth anything.

What "relationship strength" actually means

A connection is not a relationship. Someone who clicked "accept" on a LinkedIn request three years ago and has never spoken to your colleague since is a connection. A former co-founder, a college roommate, someone your advisor emails every few months - those are relationships.

Relationship strength scoring tries to quantify that gap. Instead of treating every link between two people as equal, it weights them by the signals that predict whether the connector will actually go to bat for you. The output is a score that ranks your possible paths, so you lead with the one most likely to work.

At Draftboard, that scoring sits on top of your mapped network - your team's connections, investors, advisors, customers - and surfaces the strongest warm path to any prospect. You can read more about how we calculate scores specifically in what are relationship scores and how are they calculated.

The five signals that move the score

Shared history (work and co-founding)

Time spent working alongside someone is the heaviest predictor of whether they will make an intro on your behalf. A former colleague who reported to your CFO for three years carries far more weight than someone who crossed paths at a conference. Shared company history, especially at the same time in a small team, tends to produce genuine goodwill and a felt sense of obligation to help.

Education overlap

Went to the same school? Same graduation year, same program? That shared identity creates a shortcut in trust. It is not as strong as work history, but it is real. Alumni networks produce introductions at surprisingly high rates because there is a social norm baked in - "we take care of our own."

Mutual connections

When two people share several mutual connections, it signals that they move in the same professional orbit. It also signals that a reputation is on the line on both sides. Introductions made inside tight, overlapping circles have more accountability behind them, which makes them land better.

Seniority alignment

A path to a VP of Sales is more valuable if the connector is a current or former VP themselves. Seniority parity matters because it affects how the message is received. A peer-to-peer intro carries authority that a junior-to-senior request often cannot. Scoring accounts for this by weighting paths where the connector has standing in the same world as the prospect.

Recency

A relationship that was warm in 2019 may be cold today. Recency tracks how recently the connector and prospect have interacted - shared jobs, overlapping companies, or signals in their professional timelines. An intro from someone who worked with the prospect last year is not in the same category as one from someone who last crossed paths five years ago.

Why the strongest connector beats the most prominent one

This is the part that trips up most teams. The instinct is to find the most senior or well-known person in your network who knows the prospect and ask them to make the introduction. That is usually the wrong move.

Your lead investor might technically know the CRO at your target account. But if they met twice at a panel and haven't spoken since, that introduction arrives lukewarm at best. Compare it to your head of engineering, who spent two years at the same 40-person startup as that CRO, built something together, and still grabs coffee twice a year. That connection gets a reply.

Warm introductions generate reply rates of 30-40%. Cold outreach lands under 1%. The difference is not just that someone made an introduction - it is that the right person made it, with genuine relationship weight behind it. A low-strength path dressed up as a warm intro behaves more like cold email once it arrives.

When you find mutual connections with any prospect, the goal is not to find the most, or the most prestigious. It is to find the one whose connection score is highest.

How to use this in practice

Once you have scores in front of you, the workflow changes.

Search by prospect, not by connector. Start with who you want to reach. Pull up every path to them, scored. You will often be surprised which teammate or advisor has the highest-weighted connection.

Filter for recency first. A high score with low recency is a yellow flag. Check when the relationship was active before making the ask.

Match the ask to the relationship. A very strong path can carry a direct, specific ask. A moderate path might need a softer, more context-heavy request. How you frame the ask should reflect the score.

Don't burn high-strength connectors on the wrong accounts. If your advisor has a 95-score connection to the Head of Procurement at your top target, do not spend that goodwill on a mid-tier prospect. Save strong paths for high-value opportunities.

Track outcomes by score band. Over time you will see which score thresholds actually convert. This helps your team calibrate which paths are worth pursuing and which to skip.

A note on what scoring cannot do

No score predicts a yes. Relationship strength tells you the probability that the connector will help and that the prospect will respond. It does not guarantee either.

What it does do is stop you from wasting asks on weak paths and from overlooking strong ones because they came from an unexpected person. The best connector is rarely the most obvious one. Scoring makes the non-obvious visible.

You can also see how relationship scores feed directly into outreach sequencing in using relationship scores in cold email sequences, which covers how to blend scored paths with other channels without undermining the relationship.

Getting started

If your team is still eyeballing LinkedIn to figure out who knows whom, you are making decisions without the data you need. Draftboard maps the full network across your team, investors, advisors, and customers, scores every path, and only charges you for the quality connections you actually use ($0.30 per path). Everything else - the mapping, the search, the scoring - is free to explore.