Stop guessing which lead to call first.
Doe scores every lead in your CRM on fit and real buying signals, attaches a reason you can read, and ranks the list. Your reps open the day knowing who to work: a ranked queue with the "why" on every row.
Doe scores the leads already sitting in your CRM by how well they fit your ICP and what buying signals they are showing, and attaches a plain-English reason to each score. It enriches thin records with its native tooling, reads public signals like hiring and funding, and ranks the list so reps work the top of the pile first. Run as a Loop, it re-scores on a schedule as fit and signals change, so the priority order stays current instead of decaying the day you set it.
What changes
| Dimension | Before | With Doe |
|---|---|---|
| What the score is built on | Static points for clicks and form fills | ICP fit + live buying signals, weighed together |
| Trust | A number with no explanation; reps ignore it | A reason on every score reps can act on |
| Thin records | Unscoreable, default to the bottom, forgotten | Enriched first, then scored like the rest |
| Freshness | Set once; decays silently as signals change | Re-scored on a schedule; top movers flagged |
From an undifferentiated pile to a ranked queue
HubSpotDoe read your open leads and used its native enrichment to complete the thin ones (title, company size, seniority) so every record is scoreable, including the ones that came in thin
Doe read public sources for the signals a points model misses, like recent funding, relevant hiring, leadership changes, or a switch off a competing tool, and attached the evidence to the row
The Judge ranked each lead on how well it matches your ICP and how strong its current signals are, and wrote a one-line rationale ("Series A two weeks ago, hiring 3 on your buyer’s team, VP-level") so the order stays explainable
HubSpotDoe updated each lead with a fit/intent score, the reason, and a priority tier, so reps sort by one field and trust it, with the evidence one click away
SlackDoe posted the leads that jumped into the top tier this run, with the reason each one moved, so nobody has to refresh a dashboard to catch a hot lead
A score with no reason is a number nobody trusts.
Most lead scoring is a points model someone set up two years ago: +10 for a demo request, +5 for opening an email, and a grand total that reps quietly ignore because nobody can tell them why a 78 is better than a 64. The model never saw that the 64 just raised a round and posted three roles on your exact team, and the 78 has been cold since spring. So reps fall back on gut and recency, and the highest-intent leads sit in the queue while someone works a stale MQL because it bubbled to the top.
Meanwhile half your records are too thin to score at all: a name and an email, no title, no company size, no signal, so they get a default and disappear. The leads most worth a call are often the ones the model can’t see, and the cost is real: response goes to the loudest record instead of the best one.
Get started with the right source material
Add your library and tools
Add or select the source files Doe should use, then connect the tools this task needs. No API keys, no engineering.
Describe what you need
“Every weekday, score our open leads in HubSpot on ICP fit and buying signals like funding, hiring, and tech changes. Enrich the thin records first, write a score, reason, and priority tier back to each, and post the leads that jumped into the top tier to #sales.”
It runs on schedule
Runs every weekday at 7am. Reps open a ranked queue with the reasoning on every lead.
Lead Scoring & Prioritization FAQ
Built-in scoring is mostly a static points model over CRM activity: it credits clicks and form fills and can’t see what is happening outside your funnel. Doe scores fit and live external signals together, enriches thin records so they’re scoreable at all, and writes a reason for every score. You get a ranked queue your reps trust instead of a number they route around.
Stop doing the work your tools should do for you.
Set it up once. Doe runs it every time.
