For Proposal Development

VisibleThread drives winning responses, improves quality in minutes

VisibleThread:

  • Increases doc review efficiency by 45%*
  • Flags unclear and risky content
  • Improves compliance and responsiveness

View 3 minute demos

See how VisibleThread’s language analysis capabilities saves time & increases document quality.

Proposal Development

Read this data sheet to see how VisibleThread can drive compliance and better outcomes.

Facilitating winning Bids

Can a bid compliance tool help drive winning bids? See how compliance and traceability can be facilitated by an automated solution.

VisibleThread automatically pinpoints complex and risky language in your proposal documents.

Adopting VisibleThread means you can analyze documents and identify poor content in minutes.

The Result:

  • Massive time savings
  • Better team efficiency
  • Improved probability of win.

* based on a survey of 35 VisibleThread early adopters conducted in May 2009.

How does it work?


Create First Cut Compliance Matrix in Minutes

Run a compliance scan on the solicitation, checking for all instances of ‘will’, ‘must’, ‘shall’ in any docs including, SOWs and large RFPs. With one-click, you can generate a first pass starter Excel Compliance Matrix.

For Capture and Proposal Managers, establishing exactly what must be adhered to is crystal clear and saves hours of copy/paste manual effort. Risk of missing obligations is lowered.

View This Demo


Speed ‘Bid / No-Bid’ Decisions with Affinity Checks

With ‘Concept Tracking’, VisibleThread allows you setup your core competancies in a dictionary. You then scan for these indicators across multiple solicitation PDFs or MS Word docs. You can scan SOWS (Statements of Work), PWS (Performance Work Statements), TOs (Task Orders) right up to large RFPs in minutes.

For Capture and Proposal Managers, ‘go / no go’ decisions are informed by reviewing the overlap of key concepts.

Should you team, should you pass on the bid? Don’t waste money chasing the bid if it is not aligned with your internal competencies.

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Improve Clarity with Plain Language Analysis

Flag obtuse text in document by heading.

Long sentences often mask multiple distinct propositions. For proposal responses, they make the reviewers job difficult. Splitting them flushes out ambiguity and enhances clarity.

Passive language (noun preceding verb) lacks strength and often assumes an implicit ‘actor’. Re-phrasing passive language yields clear, actionable statements.

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Eliminate Waffle and Reduce Legal Risk with Bad Language Analysis

Run a review scan that immediately picks up language that weakens credibility, raises legal questions or affects the delivery of your solution. Proposals containing sloppy, ‘waffle’ or legally risky language put the win in jeopardy. Examples like; ‘we are delighted to’, ‘we will ensure’ or ‘we are expert’ should be scrubbed and replaced.

Rainbow review teams can perform a highly efficient automated scan and save manual cycles. Real-time feedback to authors in MS Word also is provided.

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Validate Responsiveness with ‘Win Theme’ Checks

Bid Managers need to ensure that win themes are reinforced in prioritized section of the response.Simply run the win theme scan, VisibleThread highlights gaps or low density of win theme language by section.

Running a scan on the document with categorized win theme language allows Bid Managers ensure that the response does not lose focus when multiple authors are collaborating.

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Support Efficient Team Reviews

Collaborate with distributed teams in the context of the document.

Adding ‘in context’ comments allows you to view commentary side by side with the document content. Comments can be categorized using rich color coding meaning that concerns, tasks and risks can be clearly called out for team review. Once comments are completed or replied to, they can be marked as closed.

Team members are always aware of what is happening, communicating in a way that is visible to all.

View This Demo


Sign up now for a no obligation free trial to see your proposal documents in VisibleThread.

VisibleThread for IT

2:48 minutes
This summary overview shows the business case for using VisibleThread for IT programs. It shows why up to 42% of IT project cost can be attributed to defective documentation and demonstrates how VisibleThread addresses this large business issue.

Red-flagging Bad Language

3:47 minutes
There are some words/phrases that you should avoid in a proposal. This short video shows how VisibleThread scans and red-flags 'bad language' in your RFP Responses.

Using Discovery to spot Gaps

2:28 minutes
Identification of key concepts in issued documents (RFP etc.) helps align the language of the response volumes. Discovery in VisibleThread can uncover mismatches and lack of alignment between issuer and response docs to support reviews and underpin a winning bid.

Validating Win Theme Language

4:43 minutes
Win themes articulate business differentiation. Too often, with multiple contributors and authors, it is hard to keep theme language consistent.

Here we see how VisibleThread validates response docs against win themes by:

A starter compliance matrix in 3 minutes

4:20 minutes
Proposal Managers have to manually scan issued documents or pdfs to spot requirements prefaced with 'shall', 'must' etc. and track them in spreadsheets. This demo shows an 'obligation scan' run against a draft RFP pdf. All instances of 'will', 'must', 'shall' are identified. It concludes by generating a first pass of an Excel Compliance Matrix.

Collaborations and Team Reviews with
Discussions

5:31 minutes
Managing inputs from multiple contributors and conducting efficient team reviews is critical to successful outcomes. This demo shows how VisibleThread supports collaboration using web based discussions.

Integrating with MS SharePoint

2:36 minutes
VisibleThread integrates with MS SharePoint using an intuitive import capability. This short demo shows how you can import an MS SharePoint document for analysis.

Plain Language Analysis

4:11 minutes
Plain Language Analysis drives clear documentation. This demo outlines how VisibleThread can identify long sentences, passive langauge and facilitate plain langauge audits.