Thesis before activity
Why this account, why now, why us, and the trigger that opens the window. Who sits in a buying group tends to shift with the size, risk and novelty of the purchase, so each pursuit starts with its own case.
Velocity EngineExecution Game
Turn one strategic account from a response into a designed pursuit: a clear thesis, an honest map of the buying group, a sequenced play, and kill criteria set in advance.
Enterprise sellers working a few large, complex accounts, account teams whose forecasts rest on a champion who “really likes us”, and sales leaders building pursuit discipline across the team.
From respond to the RFP and hope to design the access, sequence the proof, orchestrate the buying group.
Who joins a buying group, and how many, tends to shift with the size, risk and novelty of the purchase, so each pursuit needs its own map. Taking the other side’s perspective tends to lead to better negotiated outcomes, and people tend to follow what similar others have done, which is why a peer reference carries weight. We tend to be over-optimistic about timelines and to keep investing because of what’s already spent, so the pursuit tracks signals, not hoped-for close dates, and sets its kill criteria early.
Why this account, why now, why us, and the trigger that opens the window. Who sits in a buying group tends to shift with the size, risk and novelty of the purchase, so each pursuit starts with its own case.
Name every role, rate current and target sentiment on what people have done, not said, and have a peer challenge every “+”. Taking the other side’s perspective tends to lead to better negotiated outcomes.
Earn access within the buyer’s procurement rules, then order three proof points, each aimed at one stakeholder. People tend to follow what similar others have done, so a peer reference carries weight.
Track progress signals, not hoped-for close dates, and set in advance the signal and date that end the pursuit. We tend to underestimate timelines and to keep investing because of what’s already spent.
Also runs as a half day · P3.11 HD
Half day (3 h 30 min), “Map the people, then the play”: a thesis tested by a peer, empathy maps for the two or three stakeholders the deal turns on with every guess turned into a question, and a play tested against the blocker’s case before the first move, with a 30-day review.
Design the pursuit of one strategic account around the people who decide it: an honest map of the buying group, a grounded view of the two or three who matter most, and a play tested against the blocker’s case before the first move.
Enterprise account teams working a few large, complex deals, sellers about to make the first executive move on a strategic account, and sales leaders building a pursuit discipline that includes the people the deal turns on.
Who joins a buying group, and how many, tends to shift with the size, risk and novelty of the purchase, so each pursuit needs its own map. Taking the other side’s perspective tends to lead to better negotiated outcomes, but imagining someone’s view tends not to make us more accurate about it; asking them does. People tend to follow what similar others have done, which is why a peer reference carries weight. We tend to be over-optimistic about timelines and to keep investing because of what’s already spent, so the pursuit tracks signals, not hoped-for close dates, and sets its kill criteria early.
One sentence (why this account, why now, why us) and the trigger, tested by a peer against what the economic buyer has said and done. Who joins a buying group tends to shift with the size and novelty of the purchase, so each pursuit needs its own thesis.
The coalition by role with honest sentiment, then empathy maps for two or three key stakeholders, with every guess turned into a question to ask. Taking the other side’s perspective tends to help, but imagining someone’s view tends not to make us more accurate; asking does.
Design access, proof and kill criteria, have a peer argue the blocker’s business case, and revise once. Peer proof tends to persuade, and kill criteria set early guard against over-optimism and sunk costs.
The thinking behind this lab, published in full: