Verus Ventures
Verus Ventures
Insights
Field guide · M&A operations

Make the deal cycle remember.

Carry company identity, evidence, assumptions, and decisions from sourcing through diligence and operations. Actual results can then sharpen the questions and criteria used in the next deal.

  • 8 min read
  • September 2026
Make the deal cycle remember.

The finished artifact preserves the answer, not the record behind it.

A transaction produces detailed work: company lists, relationship history, operating models, investment memos, board material, and post-close reporting. Each artifact can be correct and still be difficult to reuse.

The problem is the handoff between phases. Sourcing lives in company data, CRM records, and local analysis. Diligence moves into workbooks, presentations, and documents. Integration begins again inside the portfolio company's operating systems. The connection between them is usually a person who remembers where to look.

What should survive is not just the document. The company identity, evidence, decision, and operating observation should remain usable after the presentation is archived.

Finished artifacts move through sourcing, diligence, and operations. Beneath them the record each phase produced runs as a bar that stops at every handoff rather than continuing into the next phase, so teams copy identities, search documents, and reconstruct the next decision.
01 · SourcingTarget universe + relationship history
02 · DiligenceModel + investment memo
03 · Integration + operationsIntegration plan + operating review
Record behind each artifact
Who the company is and why it fit the mandate
The evidence reviewed and the view it supported
What the business did and why it differed
The document moves forward. The evidence and decisions behind it do not.
  1. CopyThe same company is described again.

    Identity, relationships, and classifications are rebuilt in the format used by the next phase.

  2. SearchPrior evidence becomes document retrieval.

    Finding the right model, page, and accepted conclusion becomes a new research task.

  3. LossOperating knowledge misses the next decision.

    Measured results and qualitative observations never return to the screen or diligence rubric.

The deal lifecycle is a loop, not a relay.

Sourcing, diligence, and integration ask different questions, but they should use the same company, evidence, decision history, and actual results.

In sourcing, the record explains where to look and why a target belongs. Diligence adds reviewed evidence, accepted assumptions, risks, and priorities. Integration and operations add what actually happened and why. Each phase asks a different question of the same company and decision history.

The final stage is not an archive. Actual performance and the reasons it differed from the case sharpen the questions and benchmarks used in diligence, then refine the profiles and criteria used in sourcing.

A deal-cycle operating atlas showing what connected data makes knowable in sourcing, diligence, and integration and operations. Operating evidence returns along two paths: one recalibrates diligence and one refines sourcing.
  1. 01
    Sourcing

    Where should the firm spend attention?

    1. Which markets are crowded, fragmented, or still open?

      Map distinct companies by product, capability, buyer, and category to see density, gaps, and adjacent spaces.

    2. Which companies fit the mandate, and why?

      Apply the same criteria to each target, retain the fit rationale, and compare it with the right cohort.

    3. Which sourcing work creates qualified opportunities?

      Connect source, outreach, relationship activity, stage movement, and loss reasons to the opportunities they produced.

    What carries forwardA resolved target, why it fits, the relevant market cohort, and every relationship already known.
  2. 02
    Diligence

    What must be true to invest?

    1. Which claims are supported, contradicted, or still missing?

      Connect each conclusion to reviewed source evidence and keep open questions, conflicts, and exceptions visible.

    2. How does the company differ from its market and peers?

      Compare customers, product mix, capability coverage, concentration, and competitive position against the relevant cohort.

    3. Which assumptions change the return or risk case?

      Test normalized performance, scenarios, sensitivities, and rubric conditions while retaining the accepted investment view.

    What carries forwardThe accepted thesis, supporting evidence, scenario assumptions, key risks, and the operating priorities that follow.
  3. 03
    Integration + operations

    What actually produced the result?

    1. Is the integration plan moving as expected?

      See owners, workstreams, dependencies, readiness, and exceptions against the priorities accepted at investment.

    2. Where are actual results above or below the case?

      Compare finance, people, GTM, product, delivery, and support with the underwritten view using the same definitions.

    3. Which operating actions caused the variance?

      Relate interventions and qualitative causes to the measured outcome, portfolio context, and the decision history behind them.

    What carries forwardActual performance, why it differed from the case, and each intervention connected to its outcome.
The return pathOperations produces evidence for two earlier decisions.
03 · Operating evidenceWhat the business did, and why it differed from the case
Return to 02 · DiligenceChange what the next deal must prove

Use observed results to sharpen definitions, benchmarks, diligence questions, and scenario ranges.

Return to 01 · SourcingChange where the firm looks next

Use the operating pattern to refine target profiles, market criteria, sourcing priorities, and exclusions.

Build the work the investment process needs.

Once company identity, evidence, assumptions, decisions, and actual results remain connected, the opportunity is larger than a better repository. Habitat can turn the same investment record into models that encode the firm's logic, repeatable analyses, maintained data products, review workflows, role-specific applications, and agents.

Each can solve one bounded problem or combine into a complete investment system. A decision made in diligence can shape post-close work, and actual results can improve the next screen, model, and review.

Six capabilities sit around one shared record: models, analyses, and data products above it; workflows, applications, and agents below it. Each is built on what the deal established and what the business later measured, so none of them starts by rebuilding that record.

  1. Models

    Score a target against the mandate and keep the assumptions the score rests on.

  2. Analyses

    Answer one question with its evidence and calculation held beside the conclusion.

  3. Data products

    Maintain the company universe and the benchmarks every screen compares against.

Investment context

One record carries what the deal established and what the business later measured. Each of the six is built on that record, so none of them starts by rebuilding it.

  1. Workflows

    Move a target review or a diligence request to whoever has to act on it next.

  2. Applications

    Give sourcing, the IC, and portfolio teams a screen built for the work they do.

  3. Agents

    Draft research and recurring reporting from the record instead of from a new search.

More insights
All insights

  1. Make the thesis operational.

    An investment thesis becomes operational when its questions are fixed before a target arrives, its evidence and unknowns remain explicit, and judgment is recorded against the same declared model.

  2. From CRM chaos to investment intelligence.

    How a billion-dollar software investor connected targets, contacts, activity, ownership, processes, and contracts, turning a CRM repository into daily investment intelligence in 30 days.

  3. Own the market definition.

    Sourcing advantage comes from defining and classifying the market around the mandate, not searching the same generic datasets with the same categories and filters as every other buyer.

Build the missing capability.

Start with the model, analysis, data product, workflow, application, or agent that would materially improve the investment work.