About ViewSpectra

Daniel Hartnett

Daniel Hartnett

Founder, ViewSpectra

linkedin.com/in/dannyhartnett

Who built this

My name is Daniel Hartnett. I spent four years at U.S. Bank in a quota-carrying sales role, and I worked at Thomson Reuters selling AI-powered legal tools, including CoCounsel, Practical Law, and Westlaw, directly to law firms and legal teams.

That combination gives me a perspective most people in this space don't have. I have spent years in sales, carrying a quota and closing deals across enterprise software and financial services. I understand what vendors emphasize in a pitch and what they leave out. I know what a pricing page looks like before and after the sales call. And I know which features sound impressive in a demo but never get used after onboarding.

After years of selling enterprise software and watching how companies actually make buying decisions, I saw an opportunity to build something that didn't exist: an independent platform that matches teams to the right tool based on how they work, not based on which vendor has the biggest marketing budget.

Why ViewSpectra exists

ViewSpectra exists to help companies make better software decisions faster. Bad software choices cost teams months of lost productivity, wasted budget, and painful migrations.

The platform currently covers CRM and Legal AI, with more categories on the way. The assessments match you to the right tool based on your team size, use case, budget, and priorities. The blog content is written from direct industry experience, not from vendor press releases.

Some links on this site are affiliate links, disclosed on every page where it applies. Affiliate commissions do not influence which tools are recommended or how they are scored.

How the recommendations work

Both assessments, CRM and Legal AI, use a five-question model. The questions are designed to surface the factors that actually determine fit: team or firm size, primary use case, budget range, integration requirements, and adoption preference.

Size

A solo attorney evaluating legal AI has different requirements than a 500-person law firm. A three-person sales team does not need Salesforce. The assessment uses size as an early signal to filter out tools that are genuinely the wrong fit.

Use case

Within any category, tools specialize. Some CRMs are built for marketing-driven pipelines; others are built for outbound sales teams. Some legal AI tools are strongest for research; others are built for contract review and M&A due diligence. The assessment routes you based on what you actually need the tool to do.

Budget

Price differences in this category are significant. Recommending an enterprise tool to a team that cannot realistically budget for it is not helpful advice. The assessment treats budget as a real constraint, not a secondary consideration.

Integration needs

Whether you are already in a particular ecosystem, Microsoft 365, Google Workspace, Salesforce, Litera, matters for which tool will actually work in your environment without rebuilding infrastructure.

Adoption preference

A powerful tool that nobody uses is worse than a simpler tool with high adoption. The assessment factors in whether your team needs something fast to get started or can handle a more structured implementation.

The scoring is reviewed monthly against current product and pricing information. When a vendor changes a tier, adds a feature, or modifies pricing, the scoring is updated to reflect it. The changelog has a record of every substantive update.

What makes it different

Most software review aggregators are built by people who have never sold the products they rank or bought them for a real team with a real budget. The content reflects that. It tends to be comprehensive in breadth and thin on the specific details that actually change decisions.

I know how enterprise software sales conversations work from the inside. I know what gets said in a demo that is technically accurate but strategically incomplete. I know the questions buyers should ask but usually do not, and I know which pricing structures look reasonable until you run the math for your actual headcount and use case.

That is what ViewSpectra tries to provide: the kind of direct, honest take you would get from someone who has worked in the industry and does not have a vendor relationship on the line.

If you have a question that is not answered on the site, you can reach me at daniel@viewspectra.com.