The best Key Performance Indicators (KPIs) in tech comm are aligned to measure the success of your documentation strategy.
KPIs are “a type of performance measurement to evaluate success… often success is simply the repeated, periodic achievement of some level of operational goal (e.g. zero defects, 10/10 customer satisfaction, etc.). Accordingly, choosing the right KPIs relies upon a good understanding of what is important to the organization.” (Wikipedia, “Performance indicator“)
But KPIs can be tricky! Says Business Administration professor H. Thomas Johnson: “Perhaps what you measure is what you get. More likely, what you measure is all you get. What you don’t (or can’t) measure is lost.” (Quoted and explained in a Lean Thinker blog post)
KPIs in tech comm
Some KPIs in tech comm are also deceptive. To pick a glaring example, measuring grammatical and spelling errors per page is comparatively easy and will probably help to reduce that figure. But one very fast way to improve this KPI is by changing the page layout, so there’s less text per page. Fewer words and more lead to fewer mistakes per page – without correcting a single word. Also, the measure won’t improve documentation that’s out of date or incomplete or incomprehensible.
Rachel advised me: “It depends on strategy and purpose: What’s right for one team is completely wrong for another. Measuring errors on the page is only a valuable KPI if the number of errors on a page relates closely to the purpose of your documentation. If there is a close relationship, then that’s a useful KPI!”
So what would be alternative KPIs, depending on particular tech comm strategies?
If your strategy is to make customer support more cost-effective, you can measure (expensive) support calls against (cheaper, self-service) documentation traffic, while trying to align your documentation topics, so they can effectively answer support questions.
If your strategy is to improve your net promoter score and customer retention, you can measure users’ search terms for documentation, number of clicks and visit time per page, while trying to optimize content for findability and relevance to users’ search terms.
If your strategy is to improve content reuse and topic maintenance, you can measure redundant content to drive down the number of topics that have mixed topic-type content:
- As long as you still have abundant conceptual information in task topics, you probably have redundant content. (Though a couple of sentences for context can be acceptable and helpful!)
- As long as you have window and field help reference information in task or concept topics, you propbably have redundant content.
What do you think? What KPIS are helpful? Which are you using, if any?